From e542feeb8d0288e329bceaa4307cc1e6b57dccbb Mon Sep 17 00:00:00 2001 From: 0xbentobyte <0xbentobyte@users.noreply.github.com> Date: Tue, 19 Nov 2024 12:35:58 +0000 Subject: [PATCH] deploy: c84aff68de505b9e55a289c9b61f5dc0cf476d2b --- .../index.html | 8 ++++---- .../index.html | 8 ++++---- .../index.html | 8 ++++---- .../index.html | 8 ++++---- .../index.html | 10 +++++----- .../index.html | 8 ++++---- .../index.html | 8 ++++---- .../index.html | 8 ++++---- .../index.html | 8 ++++---- .../index.html | 10 +++++----- .../index.html | 8 ++++---- .../index.html | 8 ++++---- .../index.html | 10 +++++----- .../index.html | 8 ++++---- .../index.html | 8 ++++---- .../index.html | 8 ++++---- .../index.html | 8 ++++---- .../index.html | 8 ++++---- .../index.html | 8 ++++---- .../index.html | 8 ++++---- .../index.html | 8 ++++---- .../index.html | 8 ++++---- .../index.html | 8 ++++---- .../index.html | 8 ++++---- .../index.html | 8 ++++---- 404.html | 8 ++++---- FAQ/index.html | 8 ++++---- 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Environment Preparation

Prerequisites

Required Tools

  • Solidity ^0.8.18
    • Primary smart contract programming language
    • Ensures compatibility with latest EVM features
  • Foundry Toolkit
    • forge: Development, testing, and deployment
    • cast: Contract interaction and network data reading
    • anvil: Local Ethereum node

Optional VSCode Plugins

  • Hardhat Solidity Plugin
    • Enhanced Solidity development features
    • Auto-completion and code snippets
  • Coverage Gutters
    • Visualize code coverage in editor
    • Highlight tested/untested paths

Local Development Setup

  1. Install Dependencies
npm install && forge install

This command installs:

  • Node.js packages for development tasks
  • Foundry dependencies for smart contract operations

Build & Deploy Process

1. Build Contracts

forge build

  • Compiles all Solidity contracts
  • Generates necessary artifacts (ABI, bytecode)
  • Uses specified solc version

2. Run Tests

forge test -vvv

  • vvv flag increases output verbosity
  • Shows detailed test information
  • Displays gas usage
  • Can use up to 5 v's for maximum verbosity

3. Deployment Process

Prerequisites

  1. Network RPC URL
    • Target network: Base Sepolia testnet (for testnet phase)
  2. Deployer Account Setup
    • Export private key in terminal
    • Fund account with test ETH
    • For Base Sepolia: Use Alchemy's testnet faucet

Deploy Command

forge script script/Deploy.s.sol --broadcast --rpc-url <your_rpc_url> --private-key $PRIVATE_KEY

4. Contract Verification

Setup

  1. Export Etherscan API key:
export ETHERSCAN_API_KEY=your_api_key

Verify Command

forge verify-contract <0x_contract_address> ContractName --watch --chain-id <chain_id>

Important Notes

  • Optional: Use -constructor-args for contracts with constructor parameters
  • Base Sepolia chain ID: 84532
  • Parameters must be ABI-encoded format

Tips & Troubleshooting

  • Ensure sufficient funds in deployer account for gas fees
  • Double-check network RPC URL before deployment
  • Verify contract source code matches deployed bytecode
  • Keep private keys secure and never commit them to version control
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Skip to main content

Overview

Core contract of the Intuition protocol that manages the creation and management of vaults associated with atoms & triples.

Author: 0xIntuition

Contract Inheritance

  • IEthMultiVault
  • Initializable, ReentrancyGuardUpgradeable & PausableUpgradeable (OpenZeppelin)

State Variables

Operation Identifiers

bytes32 constant public SET_ADMIN = keccak256("setAdmin");
bytes32 constant public SET_EXIT_FEE = keccak256("setExitFee");

Configuration Variables

  • generalConfig: General vault parameters (admin address, protocol vault address, etc.)
  • atomConfig: Atom-related parameters (creation cost, fees)
  • tripleConfig: Triple-related parameters (creation fee, deposit fraction)
  • walletConfig: Wallet parameters (Permit2, EntryPoint, AtomWallet Warden)
  • count: Tracks last vault ID created

Mappings

mapping(uint256 vaultId => VaultState vaultState) public vaults;
mapping(uint256 vaultId => VaultFees vaultFees) public vaultFees;
mapping(uint256 atomId => bytes atomData) public atoms;
mapping(bytes32 atomHash => uint256 atomId) public atomsByHash;
mapping(uint256 tripleId => uint256[3] tripleAtomIds) public triples;
mapping(bytes32 tripleHash => uint256 tripleId) public triplesByHash;
mapping(uint256 vaultId => bool isTriple) public isTriple;
mapping(uint256 tripleId => mapping(uint256 atomId => mapping(address account => uint256 balance))) public tripleAtomShares;
mapping(bytes32 operationHash => Timelock timelock) public timelocks;

Modifiers

onlyAdmin

Restricts function access to the contract admin only.

Core Functions

Initializer

function init(
GeneralConfig memory _generalConfig,
AtomConfig memory _atomConfig,
TripleConfig memory _tripleConfig,
WalletConfig memory _walletConfig,
VaultFees memory _defaultVaultFees
) external initializer

Atom Management

createAtom

function createAtom(
bytes calldata atomUri
) external payable nonReentrant whenNotPaused returns (uint256)

Creates new atom and returns vault ID.

deployAtomWallet

function deployAtomWallet(
uint256 atomId
) external whenNotPaused returns (address)

Deploys wallet for given atom.

Triple Management

createTriple

function createTriple(
uint256 subjectId,
uint256 predicateId,
uint256 objectId
) external payable nonReentrant whenNotPaused returns (uint256)

Creates new triple from three atoms.

Asset Management

depositAtom/depositTriple

function depositAtom(
address receiver,
uint256 id
) external payable nonReentrant whenNotPaused returns (uint256)

function depositTriple(
address receiver,
uint256 id
) external payable nonReentrant whenNotPaused returns (uint256)

Deposit ETH into atom/triple vaults.

redeemAtom/redeemTriple

function redeemAtom(
uint256 shares,
address receiver,
uint256 id
) external nonReentrant returns (uint256)

function redeemTriple(
uint256 shares,
address receiver,
uint256 id
) external nonReentrant returns (uint256)

Redeem shares from atom/triple vaults.

View Functions

Fee Calculations

  • getAtomCost(): Cost to create atom
  • getTripleCost(): Cost to create triple
  • getDepositFees(uint256 assets, uint256 id): Calculate deposit fees
  • getRedeemAssetsAndFees(uint256 shares, uint256 id): Calculate redemption amounts

Asset Conversions

  • convertToShares(uint256 assets, uint256 id): Convert assets to shares
  • convertToAssets(uint256 shares, uint256 id): Convert shares to assets
  • previewDeposit(uint256 assets, uint256 id): Simulate deposit
  • previewRedeem(uint256 shares, uint256 id): Simulate redemption

Triple Operations

  • tripleHash(uint256 id): Get triple hash
  • isTripleId(uint256 id): Check if ID is triple
  • getTripleAtoms(uint256 id): Get atoms in triple
  • getCounterIdFromTriple(uint256 id): Get counter ID

Admin Functions

Configuration

  • setAdmin(address admin)
  • setProtocolVault(address protocolVault)
  • setMinDeposit(uint256 minDeposit)
  • setMinShare(uint256 minShare)
  • setAtomUriMaxLength(uint256 atomUriMaxLength)
  • setAtomWalletInitialDepositAmount(uint256 amount)
  • setAtomCreationProtocolFee(uint256 fee)
  • setTripleCreationProtocolFee(uint256 fee)

Fee Management

  • setEntryFee(uint256 id, uint256 entryFee)
  • setExitFee(uint256 id, uint256 exitFee)
  • setProtocolFee(uint256 id, uint256 protocolFee)

Contract Control

  • pause()
  • unpause()
  • scheduleOperation(bytes32 operationId, bytes calldata data)
  • cancelOperation(bytes32 operationId, bytes calldata data)

Internal Functions

Asset Handling

  • _transferFeesToProtocolVault(uint256 value)
  • _depositAtomFraction(uint256 id, address receiver, uint256 amount)
  • _depositOnVaultCreation(uint256 id, address receiver, uint256 assets)
  • _deposit(address receiver, uint256 id, uint256 value)
  • _redeem(uint256 id, address owner, uint256 shares)

Share Management

  • _mint(address to, uint256 id, uint256 amount)
  • _burn(address from, uint256 id, uint256 amount)
  • _setVaultTotals(uint256 id, uint256 totalAssets, uint256 totalShares)
  • _createVault()
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Skip to main content

Overview

The AtomWallet smart contract is a core component of the Intuition protocol, functioning as an abstract account associated with a corresponding atom.

Author: 0xIntuition

Contract Inheritance

  • BaseAccount (from @account-abstraction/contracts)
  • Initializable and OwnableUpgradeable (from @openzeppelin/contracts-upgradeable/access)

State Variables

ethMultiVault

  • Type: IEthMultiVault public
  • Description: The EthMultiVault proxy contract address

isClaimed

  • Type: bool public
  • Description: Flag indicating if the wallet's ownership has been claimed by the user

OwnableStorageLocation

  • Type: bytes32 private constant
  • Description: Storage slot for the AtomWallet contract ownable storage

_entryPoint

  • Type: IEntryPoint private
  • Description: The EntryPoint contract's address for facilitating external calls and deposits

Modifiers

onlyOwnerOrEntryPoint

Ensures that only the owner or the EntryPoint can call the function using this modifier.

Functions

init

function init(
IEntryPoint anEntryPoint,
address anOwner,
IEthMultiVault _ethMultiVault
) external initializer

Initializes a new AtomWallet with specified parameters.

execute

function execute(
address dest,
uint256 value,
bytes calldata func
) external onlyOwnerOrEntryPoint

Executes a single transaction from the AtomWallet.

executeBatch

function executeBatch(
address[] calldata dest,
bytes[] calldata func
) external onlyOwnerOrEntryPoint

Executes multiple transactions in a batch.

addDeposit

function addDeposit() public payable

Deposits additional funds to the wallet's account in the EntryPoint.

withdrawDepositTo

function withdrawDepositTo(
address payable withdrawAddress,
uint256 amount
) public

Withdraws specified amount to a given address (owner only).

transferOwnership

function transferOwnership(
address newOwner
) public override onlyOwner

Transfers wallet ownership. Sets claimed status when transferred to user.

View Functions

getDeposit

function getDeposit() public view returns (uint256)

Returns current deposit amount in the EntryPoint.

entryPoint

function entryPoint() public view virtual override returns (IEntryPoint)

Returns the associated EntryPoint contract address.

owner

function owner() public view override returns (address)

Returns the wallet owner (user if claimed, atomWarden if not).

Internal Functions

_validateSignature

function _validateSignature(
UserOperation calldata userOp,
bytes32 userOpHash
) internal virtual override returns (uint256 validationData)

Validates UserOperation signatures.

_call

function _call(
address target,
uint256 value,
bytes memory data
) internal

Performs low-level calls to target addresses.

_getAtomWalletOwnableStorage

function _getAtomWalletOwnableStorage() private pure returns (OwnableStorage storage $)

Retrieves the contract's ownable storage slot.

- - + + \ No newline at end of file diff --git a/130450d3-7d06-80ef-9149-cb0ad061f18b/index.html b/130450d3-7d06-80ef-9149-cb0ad061f18b/index.html index 84179b7c..8b4e93da 100644 --- a/130450d3-7d06-80ef-9149-cb0ad061f18b/index.html +++ b/130450d3-7d06-80ef-9149-cb0ad061f18b/index.html @@ -4,13 +4,13 @@ Errors.sol | Intuition Docs - - + +
Skip to main content

Overview

Library containing all custom errors detailing cases where the Intuition core protocol may revert.

Author: 0xIntuition

EthMultiVault Errors

Authentication & Access

  • MultiVault_AdminOnly()
    • Only the admin is authorized to perform this operation
  • MultiVault_OnlyOwner()
    • Only the owner is authorized for this operation
  • MultiVault_SenderNotApproved()
    • The sender is not approved
  • MultiVault_SenderAlreadyApproved()
    • The sender is already approved
  • MultiVault_CannotApproveSelf()
    • Cannot approve oneself
  • MultiVault_CannotRevokeSelf()
    • Cannot revoke oneself

Asset Operations

  • MultiVault_InsufficientBalance()
    • Insufficient balance for the operation
  • MultiVault_BurnInsufficientBalance()
    • Insufficient balance for burn operation
  • MultiVault_BurnFromZeroAddress()
    • Cannot burn from the zero address
  • MultiVault_DepositOrWithdrawZeroShares()
    • Cannot deposit or withdraw zero shares
  • MultiVault_MinimumDeposit()
    • The deposit is below the minimum required amount
  • MultiVault_InsufficientDepositAmountToCoverFees()
    • The deposit amount is insufficient to cover the fees

Vault Operations

  • MultiVault_VaultDoesNotExist()
    • The specified vault does not exist
  • MultiVault_InsufficientSharesInVault()
    • Insufficient shares in vault
  • MultiVault_InsufficientRemainingSharesInVault(uint256 remainingShares)
    • Insufficient remaining shares in the vault
  • MultiVault_HasCounterStake()
    • There is a counter stake present

Atom & Triple Management

  • MultiVault_AtomDoesNotExist(uint256 atomId)
    • The specified atom does not exist
  • MultiVault_AtomExists(bytes atomUri)
    • The atom already exists
  • MultiVault_AtomUriTooLong()
    • The atomURI data to create an atom is too long
  • MultiVault_VaultIsTriple(uint256 vaultId)
    • The specified vault is a triple
  • MultiVault_VaultNotAtom()
    • The specified vault is not an atom
  • MultiVault_VaultNotTriple()
    • The specified vault is not a triple
  • MultiVault_TripleExists(uint256 subjectId, uint256 predicateId, uint256 objectId)
    • The triple already exists

Fee Management

  • MultiVault_InvalidEntryFee()
    • The entry fee is invalid
  • MultiVault_InvalidExitFee()
    • The exit fee is invalid
  • MultiVault_InvalidProtocolFee()
    • The protocol fee is invalid
  • MultiVault_InvalidAtomDepositFractionForTriple()
    • The deposit fraction for an atom in a triple is invalid

Technical Operations

  • MultiVault_ArraysNotSameLength()
    • Arrays provided are not of the same length
  • MultiVault_DeployAccountFailed()
    • Atom wallet deployment failed
  • MultiVault_TransferFailed()
    • Transfer operation failed
  • MultiVault_ReceiveNotAllowed()
    • Receive function should not be called

Timelock Operations

  • MultiVault_OperationAlreadyScheduled()
    • Timelock operation already scheduled
  • MultiVault_OperationAlreadyExecuted()
    • Timelock operation already executed
  • MultiVault_OperationNotScheduled()
    • Timelock operation not scheduled
  • MultiVault_TimelockNotExpired()
    • Timelock not expired

AtomWallet Errors

Authentication & Access

  • AtomWallet_OnlyOwner()
    • Only the owner is authorized for this operation
  • AtomWallet_OnlyOwnerOrEntryPoint()
    • Only the owner or the entry point is authorized for this action

Signature Validation

  • AtomWallet_InvalidSignature()
    • The signature is invalid
  • AtomWallet_InvalidSignatureLength(uint256 length)
    • The signature length is invalid
  • AtomWallet_InvalidSignatureS(bytes32 s)
    • The signature 's' value is invalid

Technical Operations

  • AtomWallet_InvalidCallDataLength()
    • The call data length is invalid
  • AtomWallet_WrongArrayLengths()
    • The array lengths do not match

CustomMulticall3 Errors

Value & Length Validation

  • CustomMulticall3_InsufficientValue()
    • The value provided is insufficient
  • CustomMulticall3_InvalidValue()
    • The value provided is invalid
  • CustomMulticall3_InvalidValuesLength()
    • The length of values is invalid
  • CustomMulticall3_InvalidAtomIdsLength()
    • The length of atom IDs is invalid
  • CustomMulticall3_InvalidAtomUrisLength()
    • The length of atom URIs is invalid
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-
Skip to main content

Overview

Security Assessment (Summary Report) - March 28, 2024

Audit Scope

The smart contracts audited can be found on the main branch in the repository: intuition-tob-audit

Audit File

Security Assessment (Summary Report) - March 28, 2024

Intuition-_Smart_Contracts-_Summary_Report.pdf

Summary of Findings and Fixes

High Severity

No high severity issues found

Medium Severity

  1. Protocol deposit fees unaccounted for in createAtom
  2. Triple identifiers can contain hash collisions
    • Severity: Medium
    • Fixed in: PR#33
  3. Atom equity should be calculated on raw asset amounts
  4. Distributing atom equity should not include protocol fees
  5. Asset accounting should not be reduced by minShare
    • Severity: Medium
    • Fixed in: PR#36

Low Severity

  1. createAtomCompressed allows creating duplicate atoms with the same URI
  2. Upgrade could lead to mismatch in atom wallet address prediction
  3. createAtom mints sharesForZeroAddress twice
  4. EthMultiVault should not receive ether donations
  5. Atom wallets can be created before the atom is created
  6. Atom URI data is unbounded

Informational Issues

  1. Salt contains superfluous address(this)
  2. Unbound storage reads in getVaultStates
  3. EthMultiVault is missing ERC-4626 functionality
  4. Redundant and ineffective reinitialization check
  5. Impossible condition
  6. Distributing atom equity should not mint new shares to receiver
  7. getVaultStates does not retrieve counter vaults
  8. Excessive duplicate code
  9. Admin can bypass fee setter limits
  10. Minting ghost shares is unnecessary to prevent share inflation attacks
    • Status: Removed from report
  11. Code Quality
  12. [Weak Maturity] Decentralization
  13. [Weak Maturity] Arithmetic

Status Update

Last updated: April 3, 2024

- - +
Skip to main content

Overview

Security Assessment (Summary Report) - March 28, 2024

Audit Scope

The smart contracts audited can be found on the main branch in the repository: intuition-tob-audit

Audit File

Security Assessment (Summary Report) - March 28, 2024

Intuition-_Smart_Contracts-_Summary_Report.pdf

Summary of Findings and Fixes

High Severity

No high severity issues found

Medium Severity

  1. Protocol deposit fees unaccounted for in createAtom
  2. Triple identifiers can contain hash collisions
    • Severity: Medium
    • Fixed in: PR#33
  3. Atom equity should be calculated on raw asset amounts
  4. Distributing atom equity should not include protocol fees
  5. Asset accounting should not be reduced by minShare
    • Severity: Medium
    • Fixed in: PR#36

Low Severity

  1. createAtomCompressed allows creating duplicate atoms with the same URI
  2. Upgrade could lead to mismatch in atom wallet address prediction
  3. createAtom mints sharesForZeroAddress twice
  4. EthMultiVault should not receive ether donations
  5. Atom wallets can be created before the atom is created
  6. Atom URI data is unbounded

Informational Issues

  1. Salt contains superfluous address(this)
  2. Unbound storage reads in getVaultStates
  3. EthMultiVault is missing ERC-4626 functionality
  4. Redundant and ineffective reinitialization check
  5. Impossible condition
  6. Distributing atom equity should not mint new shares to receiver
  7. getVaultStates does not retrieve counter vaults
  8. Excessive duplicate code
  9. Admin can bypass fee setter limits
  10. Minting ghost shares is unnecessary to prevent share inflation attacks
    • Status: Removed from report
  11. Code Quality
  12. [Weak Maturity] Decentralization
  13. [Weak Maturity] Arithmetic

Status Update

Last updated: April 3, 2024

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GraphQL API Example Queries

This page contains some example queries that you can run directly into the embedded playground on the previous page.

Atom Queries

There are two primary queries available for retrieving Atom data:

  • GetAtoms: Retrieves a collection of atoms based on specified filters and parameters
  • GetAtom: Fetches a single atom by its unique identifier (id)

These Atom queries are foundational and are used in more complex queries to retrieve data from the Intuition protocol.

GetAtoms

query GetAtoms(
$limit: Int
$offset: Int
$orderBy: [atoms_order_by!]
$where: atoms_bool_exp
) {
atoms(limit: $limit, offset: $offset, order_by: $orderBy, where: $where) {
# AtomMetadata fields
data
id
image
label
emoji
type

# AtomTxn fields
blockNumber
blockTimestamp
transactionHash
creatorId

# AtomVaultDetails fields
vaultId
walletId
vault {
positionCount
totalShares
currentSharePrice
}

# Creator fields
creator {
id
address
username
created_at
updated_at
}
}
}

Interact with this query in Apollo Sandbox

GetAtom

query GetAtom(
$atomId: numeric!
) {
atom(id: $atomId) {
# AtomMetadata fields
id
image
label
emoji
type

# AtomTxn fields
blockNumber
blockTimestamp
transactionHash
creatorId

# AtomVaultDetails fields
vaultId
walletId
vault {
positionCount
totalShares
currentSharePrice
}

# Creator fields
creator {
id
label
image
}
}
}

# Variables
{
"atomId": "2"
}

Interact with this query in Apollo Sandbox

Account Queries

There are two primary queries available for retrieving Account data:

  • GetAccounts: Retrieves a collection of atoms based on specified filters and parameters
  • GetAccount: Fetches a single atom by its unique identifier (address)

GetAccounts

query GetAccounts {
accounts {
# AccountMetadata fields
label
image
id
atomId
type

# AccountClaims fields
claims(order_by: { shares: desc }) {
triple {
id
label
}
shares
counterShares
}

# AccountPositions fields
positions_aggregate(order_by: { shares: desc }) {
nodes {
id
shares
vault {
id
totalShares
currentSharePrice
atom {
id
label
}
triple {
id
label
}
}
}
}
}
}

Interact with this query in Apollo Sandbox

GetAccount

query GetAccount($address: String!) {
account(id: $address) {
# AccountMetadata fields
label
image
id
atomId
type

# AccountClaims fields
claims(order_by: { shares: desc }) {
triple {
id
label
}
shares
counterShares
}

# AccountPositions fields
positions_aggregate(order_by: { shares: desc }) {
nodes {
id
shares
vault {
id
totalShares
currentSharePrice
atom {
id
label
}
triple {
id
label
}
}
}
}
}
chainLinkPrices(limit: 1, order_by: { id: desc }) {
usd
}
}

# Variables
{
"address": "0x01ba1635602706ce2794f2cd5d7eba0bdcf4972b"
}

Interact with this query in Apollo Sandbox

Triple Queries

There are two primary queries available for retrieving Triple data:

  • GetTriples: Retrieves a collection of triples based on specified filters and parameters
  • GetTriple: Fetches a single triple by its unique identifier (id)

GetTriples

query GetTriples(
$limit: Int
$offset: Int
$orderBy: [triples_order_by!]
$where: triples_bool_exp
) {
triples(limit: $limit, offset: $offset, order_by: $orderBy, where: $where) {
# TripleMetadata fields
id
label
subject {
data
id
image
label
emoji
type
creator {
label
image
id
atomId
type
}
}
predicate {
data
id
image
label
emoji
type
creator {
label
image
id
atomId
type
}
}
object {
data
id
image
label
emoji
type
creator {
label
image
id
atomId
type
}
}

# TripleTxn fields
blockNumber
blockTimestamp
transactionHash
creatorId

# TripleVaultDetails fields
vaultId
counterVaultId
vault {
id
totalShares
currentSharePrice
positionCount
atom {
id
label
}
}
counterVault {
id
totalShares
currentSharePrice
positionCount
atom {
id
label
}
}

# Creator fields
creator {
label
image
id
atomId
type
}
}
}

Interact with this query in the Apollo Sandbox

GetTriple

query GetTriple($tripleId: numeric!) {
triple(id: $tripleId) {
# TripleMetadata fields
id
label
subject {
data
id
image
label
emoji
type
creator {
label
image
id
atomId
type
}
}
predicate {
data
id
image
label
emoji
type
creator {
label
image
id
atomId
type
}
}
object {
data
id
image
label
emoji
type
creator {
label
image
id
atomId
type
}
}

# TripleTxn fields
blockNumber
blockTimestamp
transactionHash
creatorId

# TripleVaultDetails fields
vaultId
counterVaultId
vault {
id
totalShares
currentSharePrice
positionCount
atom {
id
label
}
}
counterVault {
id
totalShares
currentSharePrice
positionCount
atom {
id
label
}
}

# Creator fields
creator {
label
image
id
atomId
type
}
}
}

# Variables
{
"tripleId": "15"
}

Interact with this query in Apollo Sandbox

Positions

GetPositions

query GetPositions(
$limit: Int
$offset: Int
$orderBy: [positions_order_by!]
$where: positions_bool_exp
) {
positions_aggregate(limit: $limit, offset: $offset, order_by: $orderBy, where: $where) {
nodes {
id
account {
id
label
}
vault {
id
atom {
id
label
}
triple {
id
subject {
id
label
}
predicate {
id
label
}
object {
id
label
}
}
}
shares
}
}
}

Interact with this query in Apollo Sandbox

GetPosition

query GetPosition($positionId: String!) {
position(id: $positionId) {
id
account {
id
label
}
vault {
id
atom {
id
label
}
triple {
id
subject {
id
label
}
predicate {
id
label
}
object {
id
label
}
}
}
shares
}
}


# Variables
{
"positionId": "13-0x000ddc0e1bbfd22d2f0909d4638fec62aafea106"
}

Interact with this query in Apollo Sandbox

Vaults

GetVaults

query GetVaults(
$limit: Int
$offset: Int
$orderBy: [vaults_order_by!]
$where: vaults_bool_exp
) {
vaults_aggregate(
limit: $limit
offset: $offset
order_by: $orderBy
where: $where
) {
nodes {
id
atom {
id
label
}
triple {
id
subject {
id
label
}
predicate {
id
label
}
object {
id
label
}
}
positions_aggregate {
nodes {
account {
id
label
}
shares
}
}
currentSharePrice
totalShares
}
}
}

Interact with this query in Apollo Sandbox

GetVault

query GetVault(
$vaultId: numeric!
) {
vault(id: $vaultId) {
id
atom {
id
label
}
triple {
id
subject {
id
label
}
predicate {
id
label
}
object {
id
label
}
}
positions_aggregate {
nodes {
account {
id
label
}
shares

}
}
currentSharePrice
totalShares
}
}
}

# Variables
{
"vaultId": "1"
}

Interact with this query in Apollo Sandbox

“Utility” Queries

These “utility” queries don’t necessarily fall into the other categories but are examples of how you can query for specific purpose data. For example, the GetStats query returns stats such as the total number of Atoms created.

GetEvents

query GetEvents(
$limit: Int
$offset: Int
$orderBy: [events_order_by!]
$where: events_bool_exp
) {
events_aggregate(
limit: $limit
offset: $offset
order_by: $orderBy
where: $where
) {
nodes {
blockNumber
blockTimestamp
type
transactionHash
atomId
tripleId
depositId
feeTransferId
redemptionId
}
}
}

Interact with this query in Apollo Sandbox

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Skip to main content

GraphQL API

Our GraphQL API provides a flexible and efficient way to interact with our atomic data structure system. Through this documentation, you'll learn how to query and manipulate atomic data using our GraphQL endpoints. To help you explore and test the API interactively, we've integrated Apollo Explorer sandbox environments throughout this documentation.

These interactive playgrounds allow you to experiment with queries in real-time, seeing exactly how the API responds to different inputs and parameters.

This documentation will be split into sections by primitive, such as Atoms, Triples, and so on.

tip

We’re working to release a GraphQL SDK for our API that includes these queries with additional hooks for React developers to use directly in their apps.

Our SDK utilizes GraphQL Codegen and Fragments, but for the sake of clarity and simplicity the query examples in the playgrounds won’t utilize Fragments.

Backend Architecture Overview

This architecture diagram illustrates the data flow and integration stack for the Intuition backend. We ingest data from two primary RPC sources: our EthMultiVault contract and a ChainLinkOracle contract. This blockchain data is processed in a Docker environment where Ponder serves as the indexer, parsing and structuring the data into a PostgreSQL database.

Hasura then provides a GraphQL API layer on top of Postgres, enabling flexible data querying powering our app layers. This architecture provides efficient blockchain data indexing, reliable storage, and scalable API access. Our upcoming GraphQL SDK will further streamline the process for app developers looking to consume our data for building and extending the Intuition protocol.

GraphQL Playground

The interactive Apollo Sandbox below lets you explore our GraphQL API in real-time. You can write and execute queries, inspect the schema, and see live responses from our API. We've set up this environment to help you get familiar with our data structure and available operations.

Try starting with some basic queries like fetching atoms or exploring relationship triples. Here's a query to get you started:

query GetAtoms(
$limit: Int
$offset: Int
$orderBy: [atoms_order_by!]
$where: atoms_bool_exp
) {
atoms(limit: $limit, offset: $offset, order_by: $orderBy, where: $where) {
# AtomMetadata fields
data
id
image
label
emoji
type

# AtomTxn fields
blockNumber
blockTimestamp
transactionHash
creatorId

# AtomVaultDetails fields
vaultId
walletId
vault {
positionCount
totalShares
currentSharePrice
}

# Creator fields
creator {
id
label
image
}
}
}

You can start with this initial GetAtoms query in the Apollo Sandbox or write your own. The schema Explorer (docs tab) on the left side of the sandbox shows all available queries, mutations, and types. As you type, you'll get real-time autocompletion and documentation hints to help you build your queries. You can then click the play button to see the response and then adjust your query as you explore our data.

Need inspiration? Check out the example queries in the GraphQL API Example Queries page to get started, or jump right in and start exploring!

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@@ -15,7 +15,7 @@ they create or engage with, promoting responsible and meaningful interactions.
  • Rewarding Data Owners: A portion of the fee is distributed to existing owners of the data being interacted with. This incentivizes the creation and maintenance of valuable data, as users receive economic rewards for their contributions to the ecosystem.
  • This flow of value is enabled by Intuition’s innovative approach to data representation, which encompasses Atoms, Triples, and Signal. By structuring data into fractals via discrete, ownable fragments, this model allows for the programmatic distribution of value throughout the system’s state.

    Consider a user who wishes to create a new data entry stating that they like a YouTube video. The user must pay a fee to create this data, part of which grants them ownership in the statement and part of which rewards previous owners of related data. Other users who agree with this statement can also pay a fee to do so explicitly, reinforcing the validity and increasing the value of the data. This process helps to ensure that only high-quality, relevant data remains prominent, as users are financially incentivized to support accurate and meaningful information.

    This economic model encourages users to interact with data they believe will attract further engagement. Because data structures in Intuition are explicit, users are motivated to converge not only on the entities/concepts/data themselves, but also on the most effective ways to describe and reference these entities/concepts/data. This creates an incentive for users to reach fractal consensus on data structures, from individual Atoms to complex nested Triples. By integrating these economic principles, Intuition not only secures the system against malicious attacks but also promotes a healthy, self-regulating ecosystem where users are rewarded for their contributions to the integrity and value of the data.

    - - + + \ No newline at end of file diff --git a/136450d3-7d06-80d9-b8b6-c1d54dbb7348/index.html b/136450d3-7d06-80d9-b8b6-c1d54dbb7348/index.html index 774e8807..41265718 100644 --- a/136450d3-7d06-80d9-b8b6-c1d54dbb7348/index.html +++ b/136450d3-7d06-80d9-b8b6-c1d54dbb7348/index.html @@ -4,13 +4,13 @@ Browser Extension | Intuition Docs - - + +
    Skip to main content

    Browser Extension

    The Intuition Chrome Extension is your gateway to accessing the Intuition knowledge graph across the web. Seamlessly integrated with Intuition, this extension empowers you to bring your trusted network and personal insights to any website you visit, transforming your browsing experience with valuable context and enhanced security.

    Install it or contribute here: https://github.com/0xIntuition/intuition-chrome-extension

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    Skip to main content

    Triples

    With discrete units of data established through Atoms, defining relationships between these units to form higher-order structures is essential. Intuition achieves this by employing Semantic Triples, ensuring a uniform and discrete structure that can be prescribed a decentralized identifier and have some associated agent-centric state. This structure is essential for achieving consensus on arbitrarily sophisticated and expressive forms of data.

    Triples consist of three elements: Subject, Predicate, and Object, with each element represented as an Atom. This Subject-Predicate Object format allows users to clearly and explicitly define relationships between Atoms. These connections can be visualized as a graph where each node and edge is an Atom.

    For example, a Triple may have the structure: • Subject: “Bob” • Predicate: “age” -• Object: “34”

    In this example, each component—Subject, Predicate, and Object is an Atom, and the Triple expresses a specific relationship between these Atoms.

    Fractal Data Representations

    Triples offer a flexible yet structured method for representing data relationships. By allowing Triples to act as Atoms within other Triples, Intuition facilitates the expression, storage, and usage of arbitrarily complex data models that can scale and evolve over time. This flexibility is crucial for capturing intricate relationships and dynamics within data, enabling users to construct sophisticated applications and services on the Intuition framework. This approach maintains discrete, referenceable units for data at every layer of the structure, ensuring scalability and precision in data representation.

    Triple Ownership and Token Curated Registries

    Akin to the process outlined for Atoms, the structure of Triples allows users to gain fractional ownership of Triples through interaction. Each interaction generates interaction fees, which are distributed to the owners of each respective Triple, creating an incentivized Token Curated Registry (TCR) for data structures. The TCR encourages system participants to adopt common ways of structuring data by offering economic rewards. This approach promotes an organic, incentive-driven structuring of data, contrasting with more rigid and traditional methods such as standards committees, which often struggle to achieve effective standardization.

    - - +• Object: “34”

    In this example, each component—Subject, Predicate, and Object is an Atom, and the Triple expresses a specific relationship between these Atoms.

    Fractal Data Representations

    Triples offer a flexible yet structured method for representing data relationships. By allowing Triples to act as Atoms within other Triples, Intuition facilitates the expression, storage, and usage of arbitrarily complex data models that can scale and evolve over time. This flexibility is crucial for capturing intricate relationships and dynamics within data, enabling users to construct sophisticated applications and services on the Intuition framework. This approach maintains discrete, referenceable units for data at every layer of the structure, ensuring scalability and precision in data representation.

    Triple Ownership and Token Curated Registries

    Akin to the process outlined for Atoms, the structure of Triples allows users to gain fractional ownership of Triples through interaction. Each interaction generates interaction fees, which are distributed to the owners of each respective Triple, creating an incentivized Token Curated Registry (TCR) for data structures. The TCR encourages system participants to adopt common ways of structuring data by offering economic rewards. This approach promotes an organic, incentive-driven structuring of data, contrasting with more rigid and traditional methods such as standards committees, which often struggle to achieve effective standardization.

    + + \ No newline at end of file diff --git a/136450d3-7d06-80e2-b4ff-fe8d6417e5d2/index.html b/136450d3-7d06-80e2-b4ff-fe8d6417e5d2/index.html index 15c2327a..2d286007 100644 --- a/136450d3-7d06-80e2-b4ff-fe8d6417e5d2/index.html +++ b/136450d3-7d06-80e2-b4ff-fe8d6417e5d2/index.html @@ -4,13 +4,13 @@ Signal | Intuition Docs - - + +
    Skip to main content

    Signal

    Signal, in the context of Intuition, refers to any action or indication that expresses intent, belief, or support. Signals can be classified into three broad categories: explicit signal, implicit signal, and transitive signal. These signals play a crucial role in interpreting user behavior, beliefs, and preferences within the system.

    Explicit Signal

    An explicit signal is a clear, intentional action taken by a user to express support, belief, or intent. These actions are directly observable and often involve a formal mechanism within the system. Examples of explicit signals include voting mechanisms, where casting a vote represents a user’s preference. Verifiable claims and attestations are also forms of explicit signals; they are signed messages that convey specific information.

    For instance, a proof of humanity attestation from a trust anchor like Worldcoin is an explicit signal from Worldcoin that Worldcoin believes the entity to be human (a valuable data point for sybil resistance efforts).

    Implicit Signal

    Implicit signal involves indirect or inferred indications of support, belief, or intent. This signal is not always directly observable and are often deduced from user behavior or patterns. For example, the frequency and context of user interactions with certain data points can imply their support or belief. Implicit signal requires sophisticated analysis to interpret accurately, as it is embedded within the user’s activity data.

    Transitive Signal

    Transitive signal refers to the trust or belief that is passed along through a network of relationships. This type of signal leverages the idea that trust can be extended through connections. For example, if User A attests to something about User B, and User C trusts User A, then User C is likely to extend some level of trust to User B, even without a direct interaction. This transitive nature of trust is vital in decentralized systems like Intuition, where direct trust relationships are not always possible. By harnessing transitive signals, the system can create a more interconnected and trust-rich environment, where the credibility of one entity can influence the perception and trustworthiness of others within the network.

    Signal in Intuition


    Though all systems naturally generate implicit signal, explicit signal in Intuition is expressed in a novel format that enables and incentivizes the creation of many-to-one, non-deterministic attestations. In Intuition, these semantic statements do not have a single ‘issuer’ - instead, anyone/anything can signal support or rejection of any existing statement/attestation at any point in time. This decoupling of information from ‘who is presently expressing/supporting that information’ introduces the ability to accommodate many-to-one attestations, making the data significantly more usable - especially for more complex use cases that involve the concept of transitive signal, such as reputation.

    To accomplish this, the Intuition system enables users to maintain positions on Atoms and Triples, interpreting these positions as explicit signal from the user. This mechanism can be implemented using tokens or other accounting systems that have the ability to track user balances over time across an arbitrarily large number of entities.

    Atom Signal

    Within the Intuition framework, users signal their belief in the relevance of an Atom by adjusting their balance on that Atom. This balance can be increased or decreased arbitrarily.

    A balance of zero implies no signal, while any positive balance indicates a degree of belief in the Atom’s relevance. This mechanism is economically driven: users earn fees proportional to their ownership stake in an Atom as other users interact with it. Thus, if a user deems an Atom relevant, they are incentivized to signal its relevance to receive these rewards.

    Negative integers may be used if the Intuition system’s implementation aims to allow users to explicitly signal the irrelevance of an Atom. In systems without negative balances, the absence of a positive signal can serve as an indication of the Atom’s irrelevance.

    Triple Signal

    In the Intuition framework, users signal their belief in both the relevance and truthfulness of a Triple by modifying their balance on that Triple. Triple balances can be any integer, allowing for a nuanced expression of belief.

    A balance of zero indicates no signal. A negative balance signals a rejection of the Triple, explicitly indicating that the Triple is considered false, and that this falsehood is relevant.

    Conversely, a positive balance affirms the Triple, explicitly indicating that the Triple is considered true, and that this truthfulness is relevant.

    For example, with a Triple asserting “[Vitalik][is] [trustworthy],” users would express their belief in its truthfulness, and the relevancy of this truthfulness, by increasing their balance on the affirmative side of the Triple, or signal disbelief by decreasing their balance into the negative. This mechanism allows for nuanced expressions of trust and belief within the decentralized ecosystem.

    This system enables each “statement” to exist in different states based on who is affirming or rejecting it. To illustrate the power of this approach, consider the example of building a decentralized list of followers. In a traditional one-to-one model, where each claim or attestation has a single issuer, if a user had 1,000 followers, there would be 1,000 separate “following” claims. Most of this data would be redundant, as the “following Y” part would remain constant across all claims. Additionally, this data would only be easily reconcilable assuming consistent standards and schemas across all claims.

    In contrast, the Intuition model simplifies this by having a single Triple representing a statement such as “I am following Y.” Users would then adjust their balances on this statement to express their stance. To see all followers of Y, one would simply examine the “I am following Y” Triple and identify who has positive balances on the affirmative side. This approach consolidates data, reducing redundancy and making it easier to verify and aggregate information.

    Furthermore, the ability to adjust balances allows for a more nuanced expression of preferences. In the context of a ‘follow’ functionality, instead of a flat follow list where all followers are treated equally, users could explicitly signal varying levels of interest or endorsement. By increasing their balance on the followers they value more, users can effectively rank their follow list. This means that someone could show a stronger preference for certain individuals or entities by staking more tokens on their affirmations, creating a dynamic and tiered system of trust and preference. This not only enhances the granularity of data but also provides richer insights into user preferences and social dynamics within the network.

    - - + + \ No newline at end of file diff --git a/136450d3-7d06-80e4-b943-ede1f9162510/index.html b/136450d3-7d06-80e4-b943-ede1f9162510/index.html index b0e14c70..169881a3 100644 --- a/136450d3-7d06-80e4-b943-ede1f9162510/index.html +++ b/136450d3-7d06-80e4-b943-ede1f9162510/index.html @@ -4,13 +4,13 @@ MetaMask Snap | Intuition Docs - - + +
    Skip to main content

    MetaMask Snap

    The Intuition Snap enhances your MetaMask experience by providing crowdsourced insights and context about Ethereum addresses you interact with. By leveraging the wisdom of the crowd, this Snap enables you to make more informed decisions about who you’re transacting with directly within your MetaMask wallet.

    Install it or contribute here: https://github.com/0xIntuition/intuition-snap

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    -
    Skip to main content

    Atoms

    A system facilitating the arrival at social consensus around globally persistent canonical identifiers for all things demands that these identifiers possess a few key attributes.

    • Firstly, these identifiers should be decentralized identifiers, providing unique, secure, and verifiable identification without any reliance on a central authority.
    • Secondly, these identifiers should have a sufficient amount of associated data to ensure precise referencing of specific entities, concepts, or pieces of information. Without this contextual data, it would be unclear what each identifier is meant to represent.
    • Thirdly, these identifiers must have some agent-centric state that is capable of tracking the usage of the identifier across contexts. This enables the community to discern which identifiers are being most frequently used to represent different concepts in different settings.

    To solve for these requirements, the concepts of Atoms emerge as the foundation of the Intuition framework, representing the most fundamental units of data. These units can range from a single word to a complex concept, serving as discrete, manageable, and referenceable pieces of information that facilitate seamless data integration and manipulation across the web. By taking arbitrary data of any size and prescribing it a decentralized identifier, we can:

    • Start to reference data universally across the web.
    • Grant users equity in data as they signal its relevancy through usage.
    • Reward users for signaling the relevancy of data, thereby encouraging active participation and accurate data representation.

    Each Atom is made universally referenceable through a decentralized identifier. This approach ensures that every Atom is uniquely identifiable and can be consistently referenced across the web, maintaining data integrity and meaning regardless of the system or context.

    // An example DID

    did:ethr:mainnet:0x3b0bc51ab9de1e5b7b6e34e5b960285805c41736

    // An example DID Document

    {

    "id": "did:ethr:mainnet:0x3b0bc51ab9de1e5b7b6e34e5b960285805c41736",

    "verificationMethod": [

    {

    "id": "did:ethr:mainnet:0x3b0bc51ab9de1e5b7b6e34e5b960285805c41736#controller",

    "type": "EcdsaSecp256k1RecoveryMethod2020",

    "controller": "did:ethr:mainnet:0x3b0bc51ab9de1e5b7b6e34e5b960285805c41736",

    "blockchainAccountId": "eip155:1:0x3b0BC51Ab9De1e5B7B6E34E5b960285805C41736"

    }

    ],

    "authentication": [

    "did:ethr:mainnet:0x3b0bc51ab9de1e5b7b6e34e5b960285805c41736#controller"

    ],

    "assertionMethod": [

    "did:ethr:mainnet:0x3b0bc51ab9de1e5b7b6e34e5b960285805c41736#controller"

    ],

    "@context": [

    "https://www.w3.org/ns/did/v1",

    "https://w3id.org/security/suites/secp256k1recovery-2020/v2",

    "https://w3id.org/security/v3-unstable"

    ]

    }

    To ensure reliable referencing of entities, concepts, or data within an Atom, each Atom must include at least minimal corresponding data. This data can be of any type, stored anywhere, and presented in any format. However, using a Verifiable Data Registry and adhering to supported data structures and schemas is recommended. Doing so strengthens the data's usability through guarantees around immutability, availability, liveness, and persistence. The uniqueness of each Atom is enforced by hashing its underlying data, preventing duplicate Atoms for the same piece of data. For mutable data, it is essential to include a timestamp, ensuring that any future references understand exactly what the data represented at the moment of attestation.

    This approach allows Atoms to segment data into discrete, manageable units that can be easily combined and reused across diverse contexts and applications. By structuring data in this way, Atoms support adaptable and flexible digital systems, ensuring seamless interoperability across platforms. The composability of Atoms enhances the system’s functionality and versatility, allowing data to be efficiently leveraged in various settings and use cases.

    Atom Ownership and Token Curated Registries

    Given the permissionless nature of the system, multiple Atoms may be representative of the same concept. To foster consensus on high-quality Atoms and establish canonical identifiers for all things, Intuition employs the concept of a Token Curated Registry (TCR). In this model, users gain fractional ownership over the Atoms they interact with and receive a portion of the interaction fees each respective Atom generates, incentivizing engagement with popular Atoms. As users increasingly interact with these Atoms, a TCR emerges, ranking Atoms based on their relevance using metrics such as an Atom’s Total Value Locked (TVL). This mechanism facilitates ecosystem convergence on and easy discoverability of the most valuable and widely accepted Atoms/identifiers representing each concept.

    - - +
    Skip to main content

    Atoms

    A system facilitating the arrival at social consensus around globally persistent canonical identifiers for all things demands that these identifiers possess a few key attributes.

    • Firstly, these identifiers should be decentralized identifiers, providing unique, secure, and verifiable identification without any reliance on a central authority.
    • Secondly, these identifiers should have a sufficient amount of associated data to ensure precise referencing of specific entities, concepts, or pieces of information. Without this contextual data, it would be unclear what each identifier is meant to represent.
    • Thirdly, these identifiers must have some agent-centric state that is capable of tracking the usage of the identifier across contexts. This enables the community to discern which identifiers are being most frequently used to represent different concepts in different settings.

    To solve for these requirements, the concepts of Atoms emerge as the foundation of the Intuition framework, representing the most fundamental units of data. These units can range from a single word to a complex concept, serving as discrete, manageable, and referenceable pieces of information that facilitate seamless data integration and manipulation across the web. By taking arbitrary data of any size and prescribing it a decentralized identifier, we can:

    • Start to reference data universally across the web.
    • Grant users equity in data as they signal its relevancy through usage.
    • Reward users for signaling the relevancy of data, thereby encouraging active participation and accurate data representation.

    Each Atom is made universally referenceable through a decentralized identifier. This approach ensures that every Atom is uniquely identifiable and can be consistently referenced across the web, maintaining data integrity and meaning regardless of the system or context.

    // An example DID

    did:ethr:mainnet:0x3b0bc51ab9de1e5b7b6e34e5b960285805c41736

    // An example DID Document

    {

    "id": "did:ethr:mainnet:0x3b0bc51ab9de1e5b7b6e34e5b960285805c41736",

    "verificationMethod": [

    {

    "id": "did:ethr:mainnet:0x3b0bc51ab9de1e5b7b6e34e5b960285805c41736#controller",

    "type": "EcdsaSecp256k1RecoveryMethod2020",

    "controller": "did:ethr:mainnet:0x3b0bc51ab9de1e5b7b6e34e5b960285805c41736",

    "blockchainAccountId": "eip155:1:0x3b0BC51Ab9De1e5B7B6E34E5b960285805C41736"

    }

    ],

    "authentication": [

    "did:ethr:mainnet:0x3b0bc51ab9de1e5b7b6e34e5b960285805c41736#controller"

    ],

    "assertionMethod": [

    "did:ethr:mainnet:0x3b0bc51ab9de1e5b7b6e34e5b960285805c41736#controller"

    ],

    "@context": [

    "https://www.w3.org/ns/did/v1",

    "https://w3id.org/security/suites/secp256k1recovery-2020/v2",

    "https://w3id.org/security/v3-unstable"

    ]

    }

    To ensure reliable referencing of entities, concepts, or data within an Atom, each Atom must include at least minimal corresponding data. This data can be of any type, stored anywhere, and presented in any format. However, using a Verifiable Data Registry and adhering to supported data structures and schemas is recommended. Doing so strengthens the data's usability through guarantees around immutability, availability, liveness, and persistence. The uniqueness of each Atom is enforced by hashing its underlying data, preventing duplicate Atoms for the same piece of data. For mutable data, it is essential to include a timestamp, ensuring that any future references understand exactly what the data represented at the moment of attestation.

    This approach allows Atoms to segment data into discrete, manageable units that can be easily combined and reused across diverse contexts and applications. By structuring data in this way, Atoms support adaptable and flexible digital systems, ensuring seamless interoperability across platforms. The composability of Atoms enhances the system’s functionality and versatility, allowing data to be efficiently leveraged in various settings and use cases.

    Atom Ownership and Token Curated Registries

    Given the permissionless nature of the system, multiple Atoms may be representative of the same concept. To foster consensus on high-quality Atoms and establish canonical identifiers for all things, Intuition employs the concept of a Token Curated Registry (TCR). In this model, users gain fractional ownership over the Atoms they interact with and receive a portion of the interaction fees each respective Atom generates, incentivizing engagement with popular Atoms. As users increasingly interact with these Atoms, a TCR emerges, ranking Atoms based on their relevance using metrics such as an Atom’s Total Value Locked (TVL). This mechanism facilitates ecosystem convergence on and easy discoverability of the most valuable and widely accepted Atoms/identifiers representing each concept.

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    Remix + Vite

    Intuition App Templates

    Our opinionated templates provide out-of-the-box authentication with Privy, onchain interactions with Viem and Wagmi, and modern styling patterns with Tailwind.

    We dogfood our templates with our internal app development and then refine and share our learnings with the ecosystem. We’ll be adding more templates that leverage our core Neurofunk stack so be sure to star our https://github.com/0xIntuition/intuition-ts monorepo.

    Current Template

    Remix/Vite Neurofunk Stack

    Our flagship, opinionated template combines Remix with Vite, showcasing the stack we used to build Portal, Data Populator, and other production applications at Intuition. This template was featured in our ETHDenver 2024 presentation, where we shared our learnings and best practices that we discovered along the way. The integration of Vite with Remix enhances the development experience by offering:

    • Rapid hot module replacement (HMR)
    • Streamlined plugin system for easy extensibility
    • Improved support for modern web technologies
    • Faster feedback loops and build processes

    This combination significantly accelerates development cycles and simplifies the integration of tools like Tailwind CSS. While Remix currently supports Vite as an alternative compiler, Vite will become the default compiler for Remix in the future.

    Link to the Neurofunk Remix/Vite template in our monorepo:

    Template Stack

    Our Neurofunk stack includes:

    Prerequisites

    • Node.js: Before anything else, Remix requires that you have either a Active or Maintenance version of Node.js installed.
    • Base and Base Sepolia: Intuition is currently deployed on both Base and Base Sepolia. You'll need Base Sepolia for any writes to the Intuition protocol. Consider using a faucet such as Alchemy Base Sepolia Faucet.

    Development

    If you're running a project using the template from within the monorepo, you can run the dev server directly from the monorepo root:

    • pnpm run template:dev

    If you've cloned one of our templates into a standalone project, you can run directly from the project root:

    • pnpm run dev

    Future Templates

    We're actively working on additional templates to support different frameworks and use cases. Our goal is to provide a variety of starting points that leverage our Neurofunk stack while catering to different developer preferences and project requirements. Stay tuned for more templates, including:

    • Next.js (coming soon)
    • Vite React (coming soon)

    Check our https://github.com/0xIntuition/intuition-ts monorepo for the most up-to-date templates and READMEs including detailed documentation and setup instructions.

    ETHDenver 2024 Presentation

    We shared our learnings that informed the creation of the Neurofunk Remix/Vite template at a presentation in ETHDenver 2024.

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    GraphQL Mutations

    Our GraphQL API provides convenient mutations to help structure and publish Atom metadata following common schemas and best practices. While the protocol supports any URI scheme, these mutations offer an opinionated approach to creating well-structured, interoperable data.

    Current Schema Support

    Currently, our default schema is the Thing schema. This provides essential properties for describing any entity:

    mutation UploadThing(
    $name: String!
    $description: String!
    $image: String!
    $url: String!
    ) {
    uploadThing(
    arg1: { name: $name, description: $description, image: $image, url: $url }
    ) {
    cid
    }
    }

    Example Usage

    {
    "name": "My First Thing",
    "description": "This is an example description",
    "image": "ipfs://Qm...", // IPFS URI for image
    "url": "<https://example.com>" // Reference URL
    }

    The mutation returns an IPFS CID that can be used when creating an Atom:

    const { cid } = await uploadThing(thingData)
    const atomId = await createAtom(cid)

    Upcoming Schema Support

    We are actively expanding our mutation support to include schemas from schema.org. Additionally, we'll be adding support for CAIP-10 addresses to enable cross-chain identity resolution.

    Best Practices

    1. Complete Metadata: Provide as much relevant metadata as possible to improve the Atom's utility across different contexts.
    2. Persistent Storage: All metadata is stored on IPFS, ensuring data availability and immutability.
    3. URI Standards: Use standard URI formats:
      • IPFS: ipfs://Qm...
      • HTTP(S): https://...
      • CAIP-10 (coming soon): eip155:1:0x...

    Example Workflows

    Basic Thing Creation

    // 1. Upload metadata
    const thingData = {
    name: 'Example Thing',
    description: 'Description...',
    image: 'ipfs://Qm...',
    url: 'https://...',
    }

    const { cid } = await uploadThing(thingData)

    // 2. Create Atom with returned CID
    const atomId = await createAtom(cid)

    TypeScript Integration

    We maintain a package, graphql within our intuition-ts monorepo that auto-generates TypeScript types and React hooks to make integrations easier. This includes type-safe mutations, queries, and React hooks for all supported schemas. We are actively finalizing patterns to properly externalize this package, which will be released shortly. This guide will be updated to provide example implementations once the package is released.

    Future Schema Support

    We are also actively expanding our mutation support to include schemas from schema.org as well as CAIP-10 addresses to enable cross-chain identity resolution.

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    Farcaster Frames

    The Intuition Farcaster Frame enables users to interact with the Intuition knowledge graph directly from the Farcaster protocol. With this frame, you can easily deposit on specific Atoms or Triples, allowing you to contribute knowledge and insights directly from within Farcaster.

    Get started here:

    intuition-frame-repo

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    Skip to main content
    - - + + \ No newline at end of file diff --git a/13b450d3-7d06-80d5-8ffe-f3841ac77ced/index.html b/13b450d3-7d06-80d5-8ffe-f3841ac77ced/index.html index efd1931e..af364b28 100644 --- a/13b450d3-7d06-80d5-8ffe-f3841ac77ced/index.html +++ b/13b450d3-7d06-80d5-8ffe-f3841ac77ced/index.html @@ -4,8 +4,8 @@ State Interpretations | Intuition Docs - - + +
    @@ -13,7 +13,7 @@ By publishing this literal interpretation, the implementor allows others to observe and utilize this interpretation for various purposes.

    For example, another system might use this information to grant User A access to System Y based on their access to System X, to adjust their loan-to-value ratio in a financial application, or to affect their reputation in a particular context.

    The Intuition system facilitates the publication process of these literal interpretations, allowing stakeholders to register and share their interpretations as Atoms and/or Triples. By doing so, the system can be used recursively to create a registry of literal interpretations that promotes transparency and coordination. This registry enables the creation of programmatic languages on top of the Intuition protocol, leveraging the principles of discrete objects and their relationships to enforce logic and code.

    Algorithms

    In the Intuition framework, algorithms function as tools to filter and interpret data, distinct from literal interpretations which resolve to deterministic logic. Given a permissionless environment where anyone can claim anything about anything, algorithms play a crucial role, enabling signal to be effectively distilled from the noise and allowing users to focus on the voices they trust.

    Intuition rejects the idea of ‘truth lock-in,’ acknowledging that no single algorithm can be universally optimal. In response, Intuition promotes a diverse and permissionless ecosystem of algorithms that users and developers can select based on their specific requirements. This empowers users and developers to create, choose, and apply the most appropriate algorithms for their particular contexts. Such flexibility ensures that data filtering and interpretation can be customized to meet varied needs, thereby enhancing the overall utility and effectiveness of the Intuition framework.

    This approach contrasts sharply with the current internet landscape, where platform interactions often necessitate accepting a pre-set, opaque algorithm. Intuition envisions decoupling algorithms from applications, allowing individuals to use their preferred algorithms across different platforms - a flexibility made possible through interoperable and composable data.

    For instance, consider an algorithm that weights and filters data based on social graphs. In this model, a user who is one degree of separation away from the observer might have their signal weighted at 100%; at two degrees away, at 80%; and at three degrees away, at 60%. This allows for nuanced data interpretation based on social proximity.

    Reality Tunnels

    By decoupling each element of the data filtering process, we unlock the potential to recombine these elements in novel and innovative ways. Within the Intuition framework, these combinations are known as “Reality Tunnels.” A Reality Tunnel typically includes a mix of literal interpretations and algorithms, but it can also incorporate other relevant components essential for data filtering, weighting, and sense-making.

    To illustrate, consider the creation of a ‘Trust Graph’ using specific Triple structures. For instance, a Triple might be formatted as ‘[Subject][in trust graph] [Vitalik’s Web3 Trust Graph].’ This Trust Graph could assign different users different weights, explicitly signaled by a particular curator, to facilitate the weighting and filtering of data. When this Trust Graph is combined with an algorithm such as EigenTrust, it can be applied to a relevant context—like a portion of the knowledge graph pertaining to Web3 topics.

    This integrated viewpoint or “lens” is referred to as a Reality Tunnel. The concept of Reality Tunnels also allows users to switch between different perspectives. Imagine engaging in a debate and having the ability to view the data from your opponent’s perspective to understand their reasoning. Currently, most platforms restrict users to a single “reality tunnel,” shaped by their social graph and a specific platform’s algorithm. However, if users could toggle between different social graphs and apply various open-source algorithms, they would gain access to diverse viewpoints and a more comprehensive understanding of the data and the world around them. This flexibility would enrich user experience by providing multiple angles on the same information, fostering better-informed discussions and decisions.

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    Intuition in Practice

    The introduction of Intuition’s core primitives lays a robust foundation for constructing a system that fosters a trustful interaction layer for the decentralized web. These seemingly basic primitives enable a wide range of powerful functionalities, transforming how we manage identities, data, and trust online.

    To illustrate this, consider, once again, the experience of buying a product on Amazon. With Intuition’s primitives, this process can be reimagined in a decentralized, trustless manner:

    1. Atoms and Triples
      1. Every user, product, review, and transaction can be represented as discrete objects (Atoms) and linked through relationships (Triples). For instance, a Triple could link a product (Atom) to a review (Atom) through a relationship like “hasReview.”
    2. Signal
      1. Each review can be evaluated for credibility using the Signal primitive. Reviews and Signals from verified purchasers or highly reputable users can carry more weight, helping users discern trustworthy feedback from potentially fraudulent reviews.
    3. Fees, Economics, and Incentives
      1. Users are encouraged to express themselves, and reviewers are incentivized to provide honest and detailed feedback. Users earn money for their valuable data contributions, and their reputation becomes cross-contextual, increasing its significance beyond a single platform. For example, a user’s status as a trusted reviewer on Amazon could serve as a valuable reputation data point in other contexts, such as securing better loan-to-value ratios in decentralized finance (DeFi) or enhancing the ability to obtain a loan. This cross-contextual reputation system contrasts with Amazon’s current reviewer reputation, which offers no tangible rewards.
      2. Additionally, users might be more inclined to attest to useful information about products on Amazon because their claims can be easily seen by the people they care about, thanks to portable social and trust graphs. Unlike the current Amazon platform, which lacks a friends list, Intuition allows users to take their singular social graph or a set of trust graphs with them anywhere they go. This portability means that the review of one trusted individual in a specific context could hold more weight than numerous anonymous reviews. The ability to leverage these portable social and trust graphs ensures that valuable insights from trusted sources are prioritized, further enhancing the reliability and utility of the data within the ecosystem.
    4. Interpretations
      1. The listing of a product on a marketplace such as Amazon can be represented as a literal interpretation. For instance, adding a product to a marketplace can be as straightforward as creating a Triple like [Product][listedOn] [Amazon]. Expanding on this concept, various stakeholders can publish their interpretations of product reviews. For example, a company might aggregate all reviews and provide a summary score, while an independent consumer protection group could highlight reviews mentioning safety concerns.
    5. Algorithms
      1. Users can choose from various algorithms to filter and sort reviews based on their preferences. For instance, an algorithm can prioritize reviews from users with similar purchase histories or highlight reviews that mention specific product features.
    6. Reality Tunnel
      1. Users can compose together interpretations and algorithms to create curated ‘views’ of data, allowing them to find the voices they trust among thousands of anonymous voices.
    7. Portable Identity and Data
      1. Identities and data become universal, and can be referenced and integrated anywhere across the web. Users can see a product’s aggregated reviews across Amazon, Facebook Marketplace, Craigslist, or eBay, provided the same canonical identifier for the products is used in each context. And, even if Amazon were to shut down, users’ data and lists of favorites would still exist, ensuring continuity and control over their digital interactions.

    By integrating these primitives into contexts and interactions that cannot yet be fully ‘trustless,’ Intuition establishes a decentralized trust layer. This layer allows users to interact with confidence, knowing that the information they rely on is transparent, verifiable, and free from centralized manipulation. For instance, when buying a product, users can access a wealth of credible reviews, filtered and presented according to their preferences, all while maintaining control over their data and identities. By leveraging these tools, we can build a more trustworthy and user-centric digital ecosystem, addressing many of the inherent flaws in the current Web2 trust stack and paving the way for a more decentralized and equitable internet

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    Getting Started

    This guide walks through the steps needed to get started interacting with the Intuition contracts in a TypeScript/React setting. The guides following this page will assume that you’ve completed this scaffolding and configuration.

    Contract Addresses

    Intuition is currently deployed on Base Mainnet and Base Sepolia Testnet. You can find the chain information and contract addresses here:

    ChainChain IDContract AddressTypeExplorer
    Base84530x430BbF52503Bd4801E51182f4cB9f8F534225DE5Mainnethttps://basescan.org/
    Base Sepolia845320x1A6950807E33d5bC9975067e6D6b5Ea4cD661665Testnethttps://sepolia.basescan.org/

    Multivault ABI

    In addition to the contract address you’ll need the EthMultivault ABI. The code block is too large to include in these docs, but we recommend the following approach:

    • Create a multivault.ts file in a path such as app/lib/abis
    • Export the ABI as a const array:
    export const multivaultAbi = [
    {...},
    {...},
    ]
    • Note: The actual ABI values are included inside the {...} in the above example.

    You’ll need to export with this structure to work with viem and wagmi and to have type inference and ABI support.

    For a full example you can look at a reference implementation in our monorepo:

    Scaffolding Contract Interactions

    Once you have the contract address and the ABI exported from a .ts file you’re ready to scaffold the contract interactions.

    The following guide focuses on what you need to start interacting with the EthMultivault contract in a TypeScript context.

    useMultivaultContract Hook

    If you’re working in a React app we have a hook that you can use to scaffold your contract interactions. This hook leverages getContract from viem and the usePublicClient from wagmi :

    import { multivaultAbi } from '@lib/abis/multivault'
    import { getContract } from 'viem'
    import { usePublicClient } from 'wagmi'

    export const getMultivaultContractConfig = (contract?: string) => ({
    address:
    (contract as `0x${string}`) ||
    (`0x1A6950807E33d5bC9975067e6D6b5Ea4cD661665` as `0x${string}`),
    abi: multivaultAbi,
    })

    export function useMultivaultContract(contract?: string, chainId?: number) {
    const publicClient = usePublicClient({ chainId })

    if (!publicClient) {
    console.error('No publicClient found.')
    return null
    }

    return getContract({
    ...getMultivaultContractConfig(
    contract ||
    (`0x1A6950807E33d5bC9975067e6D6b5Ea4cD661665` as `0x${string}`),
    ),
    client: {
    public: publicClient,
    },
    })
    }

    Once you’ve created this hook you’re then able to use it in both contract reads and writes. Here’s a snippet showing how you can use the hook:

    import { useMultivaultContract } from './useMultivaultContract'

    export const useCreateAtom = () => {
    const multivault = useMultivaultContract(
    baseSepolia.id
    ) as GetContractReturnType

    return useContractWriteAndWait({
    ...multivault,
    functionName: 'createAtom',
    })
    }

    The specific contract interactions are covered in more detail in each page, such as Create Atom.

    Viem Scaffolding

    We recommend additional viem configuration in addition to the EthMultiVault contract scaffolding.

    Environment Variables

    This guide and reference implementation include references to environment variables that you’ll need to set in your app’s .env. You can rename these to whatever name you prefer, but you’ll need to ensure that the name matches.

    # .env

    ALCHEMY_BASE_SEPOLIA_RPC_URL=
    ALCHEMY_BASE_RPC_URL=

    You can set the contract address into a constant as well, such as:

    MULTIVAULT_CONTRACT_ADDRESS

    We recommend taking this approach for reusability across your app. This example also includes a CURRENT_ENV variable that is set to your deployment environment (such as 'development') to set the proper RPC URL in the Public Client configuration.

    Implementation

    import { multivaultAbi } from '@lib/abis/multivault'
    import {
    CURRENT_ENV,
    MULTIVAULT_CONTRACT_ADDRESS,
    } from 'app/consts'
    import {
    createPublicClient,
    getContract,
    http,
    PublicClient,
    type Abi,
    } from 'viem'
    import { base, baseSepolia } from 'viem/chains'

    export const publicClient: PublicClient = createPublicClient({
    batch: {
    multicall: true,
    },
    chain: CURRENT_ENV === 'development' ? baseSepolia : base,
    transport: http(
    CURRENT_ENV === 'development'
    ? process.env.ALCHEMY_BASE_SEPOLIA_RPC_URL
    : process.env.ALCHEMY_BASE_RPC_URL,
    },
    ),
    }) as PublicClient

    export const getMultivaultContract = getContract({
    address: MULTIVAULT_CONTRACT_ADDRESS as `0x${string}`,
    abi: multivaultAbi as Abi,
    client: {
    public: publicClient,
    },
    })

    export const createMultiVaultContract = (contractAddress: string) =>
    ({
    address: contractAddress as `0x${string}`,
    abi: multivaultAbi as Abi,
    }) as const

    export const multiVaultContract = {
    address: MULTIVAULT_CONTRACT_ADDRESS as `0x${string}`,
    abi: multivaultAbi as Abi,
    } as const

    For a full example you can look at a reference implementation in our monorepo:

    Next Steps

    Once you’ve added this scaffolding and configuration to your application you’ll have what you need to start interacting onchain Intuition primitives. Each contract interaction page guide assumes that you’ll have already completed this scaffolding and have the useMultivaultContract hook set up.

    See also:

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    Attest Atom

    Attestations allow users to signal support for Atoms by depositing ETH into their associated vaults. Each deposit represents a stake in the Atom's relevance and validity, with the ability to redeem these stakes later.

    Context

    The depositAtom and redeemAtom functions are part of the EthMultiVault contract, which manages the staking and signaling mechanisms for Atoms. When attesting to an Atom, users deposit ETH into the Atom's vault, receiving shares proportional to their deposit. These shares can later be redeemed to withdraw the original deposit plus any accrued rewards or minus any fees.

    depositAtom

    function depositAtom(
    address receiver,
    uint256 id
    ) external payable nonReentrant whenNotPaused returns (uint256)

    Parameters

    • receiver: Address to receive the vault shares
    • id: Vault ID of the Atom
    • value: Amount of ETH to deposit
    • Returns: uint256 - Amount of shares received

    Implementation

    // useDepositAtom Hook
    import { type GetContractReturnType } from 'viem'
    import { base } from 'viem/chains'

    import { useContractWriteAndWait } from './useContractWriteAndWait'
    import { useMultivaultContract } from './useMultivaultContract'

    export const useDepositAtom = () => {
    const multivault = useMultivaultContract(
    base.id,
    ) as GetContractReturnType

    return useContractWriteAndWait({
    ...multivault,
    functionName: 'depositAtom',
    })
    }
    // Usage Example
    const {
    writeAsync: writeDepositAtom,
    awaitingWalletConfirmation,
    awaitingOnChainConfirmation,
    } = useDepositAtom()

    async function handleDepositAtom(atomId: string, amount: bigint) {
    if (
    !awaitingOnChainConfirmation &&
    !awaitingWalletConfirmation &&
    writeDepositAtom
    ) {
    try {
    const tx = await writeDepositAtom({
    address: MULTIVAULT_CONTRACT_ADDRESS,
    abi: multivaultAbi,
    functionName: 'depositAtom',
    args: [address, BigInt(atomId)],
    value: amount,
    })

    if (tx?.hash) {
    const receipt = await publicClient.waitForTransactionReceipt({
    hash: tx.hash,
    })
    // Handle success
    }
    } catch (error) {
    // Handle error
    }
    }
    }

    redeemAtom

    function redeemAtom(
    uint256 shares,
    address receiver,
    uint256 id
    ) external nonReentrant returns (uint256)

    Parameters

    • shares: Number of vault shares to redeem
    • receiver: Address to receive the redeemed ETH
    • id: Vault ID of the Atom
    • Returns: uint256 - Amount of ETH received

    Implementation

    // useRedeemAtom Hook
    import { type GetContractReturnType } from 'viem'
    import { base } from 'viem/chains'

    import { useContractWriteAndWait } from './useContractWriteAndWait'
    import { useMultivaultContract } from './useMultivaultContract'

    export const useRedeemAtom = () => {
    const multivault = useMultivaultContract(
    base.id,
    ) as GetContractReturnType

    return useContractWriteAndWait({
    ...multivault,
    functionName: 'redeemAtom',
    })
    }

    // Usage Example
    const {
    writeAsync: writeRedeemAtom,
    awaitingWalletConfirmation,
    awaitingOnChainConfirmation,
    } = useRedeemAtom()

    async function handleRedeemAtom(atomId: string, shares: bigint) {
    if (
    !awaitingOnChainConfirmation &&
    !awaitingWalletConfirmation &&
    writeRedeemAtom
    ) {
    try {
    const tx = await writeRedeemAtom({
    address: MULTIVAULT_CONTRACT_ADDRESS,
    abi: multivaultAbi,
    functionName: 'redeemAtom',
    args: [shares, address, BigInt(atomId)],
    })

    if (tx?.hash) {
    const receipt = await publicClient.waitForTransactionReceipt({
    hash: tx.hash,
    })
    // Handle success
    }
    } catch (error) {
    // Handle error
    }
    }
    }

    Cost Considerations

    1. Deposit Fees:
      • Entry fee: Percentage taken from deposit
      • Protocol fee: Portion sent to protocol treasury
      • Gas fees: Network transaction costs
    2. Redemption Fees:
      • Exit fee: Percentage taken from withdrawal
      • Protocol fee: Portion sent to protocol treasury

    See also:

    - - + + \ No newline at end of file diff --git a/13d450d3-7d06-808a-b789-d45f3bc4de6e/index.html b/13d450d3-7d06-808a-b789-d45f3bc4de6e/index.html index 3cb280f0..5a5ee783 100644 --- a/13d450d3-7d06-808a-b789-d45f3bc4de6e/index.html +++ b/13d450d3-7d06-808a-b789-d45f3bc4de6e/index.html @@ -4,13 +4,13 @@ Create Atom | Intuition Docs - - + +
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    Create Atom

    Atoms are the fundamental building blocks in the Intuition system, representing discrete units of data that can be anything from a single concept to a complex entity. Each Atom is assigned a unique decentralized identifier (DID) and includes associated metadata, a wallet, and a vault.

    Context

    The createAtom and batchCreateAtom functions are part of the EthMultiVault contract, which manages the creation and management of Atoms and their associated vaults. When creating Atoms, the metadata is stored off-chain with only a URI reference stored on-chain. This design allows for maximum flexibility - developers can use any URI scheme and storage solution that best fits their needs.

    For convenience, we provide a set of GraphQL mutations that help structure and publish Atom metadata following common schemas and best practices. These mutations will be continuously updated to support more schemas and improve interoperability. See our Off-Chain Metadata Guide for details on using these recommended patterns.

    The following guide will focus solely on the on-chain aspects of creating an Atom using a URI.

    createAtom

    function createAtom(bytes calldata atomUri) external payable returns (uint256)

    Parameters

    • atomUri : The URI point to the Atom’s metadata (typically stored off-chain)
    • value : Initial deposit into the Atom’s multivault. Must be ≥ to the atom creation cost.
    • Returns: uint256 - Created atom vault ID

    Implementation

    // useCreateAtom Hook
    import { type GetContractReturnType } from 'viem'
    import { base } from 'viem/chains'
    import { useContractWriteAndWait } from './useContractWriteAndWait'
    import { useMultivaultContract } from './useMultivaultContract'

    export const useCreateAtom = () => {
    const multivault = useMultivaultContract(
    baseSepolia.id
    ) as GetContractReturnType

    return useContractWriteAndWait({
    ...multivault,
    functionName: 'createAtom',
    })
    }
    // Usage Example
    const {
    writeAsync: writeCreateAtom,
    awaitingWalletConfirmation,
    awaitingOnChainConfirmation,
    } = useCreateAtom()

    async function handleCreateAtom(atomData: string) {
    if (!awaitingOnChainConfirmation && !awaitingWalletConfirmation && writeCreateAtom) {
    try {
    const tx = await writeCreateAtom({
    address: MULTIVAULT_CONTRACT_ADDRESS,
    abi: multivaultAbi,
    functionName: 'createAtom',
    args: [toHex(atomData)],
    value: atomCost, // Must be >= minimum creation cost
    })

    if (tx?.hash) {
    const receipt = await publicClient.waitForTransactionReceipt({
    hash: tx.hash,
    })
    // Handle success
    }
    } catch (error) {
    // Handle error
    }
    }
    }

    createBatchAtom

    function createAtomBatch(bytes[] calldata atomUris) external payable nonReentrant whenNotPaused returns (uint256[] memory)

    Parameters

    • atomUris : The URIs point to the Atoms’ metadata (typically stored off-chain)
    • value : Initial deposit into the Atom’s multivault. Must be ≥ to the atom creation cost * length of atomUris. This will get distributed evenly across all created atoms.
    • Returns uint256[] - Created atoms’ vault ID(s)

    Implementation

    // useBatchCreateAtom Hook
    import { type GetContractReturnType } from 'viem'
    import { base } from 'viem/chains'
    import { useContractWriteAndWait } from './useContractWriteAndWait'
    import { useMultivaultContract } from './useMultivaultContract'

    export const useBatchCreateAtom = () => {
    const multivault = useMultivaultContract(
    base.id
    ) as GetContractReturnType

    return useContractWriteAndWait({
    ...multivault,
    functionName: 'createAtomBatch',
    })
    }
    // Usage Example
    const {
    writeAsync: writeBatchCreateAtom,
    awaitingWalletConfirmation,
    awaitingOnChainConfirmation,
    } = useBatchCreateAtom()

    async function handleBatchCreateAtom(atomUris: string[]) {
    const value = BigInt(atomCost) * BigInt(atomUris.length)

    if (!awaitingOnChainConfirmation && !awaitingWalletConfirmation && writeBatchCreateAtom) {
    try {
    const tx = await writeBatchCreateAtom({
    address: MULTIVAULT_CONTRACT_ADDRESS,
    abi: multivaultAbi,
    functionName: 'createAtomBatch',
    args: [atomUris.map(data => toHex(data))],
    value: value, // Must be >= minimum creation cost * number of atoms
    })

    if (tx?.hash) {
    const receipt = await publicClient.waitForTransactionReceipt({
    hash: tx.hash,
    })
    // Handle success
    }
    } catch (error) {
    // Handle error
    }
    }
    }

    Cost Considerations

    1. Creation Cost:
      • Minimum ETH required to create an Atom
      • Retrieved via getAtomCost()
      • Includes protocol fee sent to treasury
      • Must be included in transaction's value parameter
    2. Initial Deposit:
      • Any ETH sent above the creation cost
      • Becomes initial stake in the Atom's vault
      • Subject to entry fees
      • Grants fractional ownership in the vault

    See also:

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    Create Triple

    Triples are higher-order structures in the Intuition system, used to define relationships between Atoms. Each Triple consists of three components - Subject, Predicate, and Object - all represented as Atoms, enabling precise, machine-readable representations of data relationships.

    Context

    The createTriple and batchCreateTriple functions are part of the EthMultiVault contract, which manages the creation and relationships between Atoms through Semantic Triples. When creating Triples, each component must reference existing Atom vault IDs. The Triple structure enables:

    • Many-to-one attestations
    • Positive and negative signaling through triple vaults
    • Flat data structures for optimal scalability

    For example, a Triple might represent:

    • Subject: "Bob" (Atom ID: "1")
    • Predicate: "is" (Atom ID: "2")
    • Object: "Trustworthy" (Atom ID: "3")

    createTriple

    function createTriple(
    uint256 subjectId,
    uint256 predicateId,
    uint256 objectId
    ) external payable nonReentrant whenNotPaused returns (uint256)

    Parameters

    • subjectId: vault ID of the Atom representing the subject
    • predicateId: vault ID of the Atom representing the predicate/relationship
    • objectId: vault ID of the Atom representing the object
    • value : Initial deposit into the Triple’s positive multivault. Must be ≥ to the triple creation cost.
    • Returns: uint256 - Created triple vault ID

    Implementation

    // useCreateTriple Hook
    import { type GetContractReturnType } from 'viem'
    import { base } from 'viem/chains'
    import { useContractWriteAndWait } from './useContractWriteAndWait'
    import { useMultivaultContract } from './useMultivaultContract'

    export const useCreateTriple = () => {
    const multivault = useMultivaultContract(
    base.id
    ) as GetContractReturnType

    return useContractWriteAndWait({
    ...multivault,
    functionName: 'createTriple',
    })
    }
    // Usage Example
    const {
    writeAsync: writeCreateTriple,
    awaitingWalletConfirmation,
    awaitingOnChainConfirmation,
    } = useCreateTriple()

    async function handleCreateTriple(subjectId: string, predicateId: string, objectId: string) {
    if (!awaitingOnChainConfirmation && !awaitingWalletConfirmation && writeCreateTriple) {
    try {
    const tx = await writeCreateTriple({
    address: MULTIVAULT_CONTRACT_ADDRESS,
    abi: multivaultAbi,
    functionName: 'createTriple',
    args: [BigInt(subjectId), BigInt(predicateId), BigInt(objectId)],
    value: tripleCost, // Must be >= minimum creation cost
    })

    if (tx?.hash) {
    const receipt = await publicClient.waitForTransactionReceipt({
    hash: tx.hash,
    })
    // Handle success
    }
    } catch (error) {
    // Handle error
    }
    }
    }

    createBatchTriple

    function createTripleBatch(
    uint256[] calldata subjectIds,
    uint256[] calldata predicateIds,
    uint256[] calldata objectIds
    ) external payable nonReentrant whenNotPaused returns (uint256[] memory)

    Parameters

    • subjectIds: vault ID(s) of the Atom representing the subjects
    • predicateIds: vault ID(s) of the Atom representing the predicate/relationships
    • objectIds: vault ID(s) of the Atom representing the objects
    • value : Initial deposit into the triples’ multivaults. Must be ≥ to the atom creation cost * length of triples. This will get distributed evenly across all created triples.
    • Returns uint256[] - Created triples’ vault ID(s)

    Implementation

    // useBatchCreateTriple Hook
    import { type GetContractReturnType } from 'viem'
    import { base } from 'viem/chains'
    import { useContractWriteAndWait } from './useContractWriteAndWait'
    import { useMultivaultContract } from './useMultivaultContract'

    export const useBatchCreateTriple = () => {
    const multivault = useMultivaultContract(
    base.id
    ) as GetContractReturnType

    return useContractWriteAndWait({
    ...multivault,
    functionName: 'createTripleBatch',
    })
    }
    // Usage Example
    const {
    writeAsync: writeBatchCreateTriple,
    awaitingWalletConfirmation,
    awaitingOnChainConfirmation,
    } = useBatchCreateTriple()

    async function handleBatchCreateTriple(
    subjectIds: string[],
    predicateIds: string[],
    objectIds: string[]
    ) {
    const value = BigInt(tripleValue) * BigInt(subjectIds.length)
    if (!awaitingOnChainConfirmation && !awaitingWalletConfirmation && writeBatchCreateTriple) {
    try {
    const tx = await writeBatchCreateTriple({
    address: MULTIVAULT_CONTRACT_ADDRESS,
    abi: multivaultAbi,
    functionName: 'createTripleBatch',
    args: [
    subjectIds.map(BigInt),
    predicateIds.map(BigInt),
    objectIds.map(BigInt),
    ],
    value: tripleCost * subjectIds.length, // Must be >= minimum creation cost * number of triples
    })

    if (tx?.hash) {
    const receipt = await publicClient.waitForTransactionReceipt({
    hash: tx.hash,
    })
    // Handle success
    }
    } catch (error) {
    // Handle error
    }
    }
    }

    Cost Considerations

    1. Creation Cost:
      • Minimum ETH required to create a Triple
      • Retrieved via getTripleCost()
      • Includes protocol fee sent to treasury
      • Must be included in transaction's value parameter
    2. Initial Deposit:
      • Any ETH sent above the creation cost
      • Deposited into the positive vault
      • Subject to entry fees

    See also:

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    Attest to Triple

    Attestations in the Intuition system allow users to signal their agreement or disagreement with Triples by depositing ETH into either the positive or negative vault. Each deposit represents a stake in the Triple's validity, with the ability to redeem these stakes later.

    Context

    The depositTriple and redeemTriple functions are part of the EthMultiVault contract, which manages the staking and signaling mechanisms for Triples. When attesting to a Triple, users deposit ETH into either the positive or negative vault, receiving shares proportional to their deposit. These shares can later be redeemed to withdraw the original deposit plus any accrued rewards or minus any losses.

    For example, given the Triple:

    • Subject: "Bob" (Atom ID: "1")
    • Predicate: "is" (Atom ID: "2")
    • Object: "Trustworthy" (Atom ID: "3")

    Users can:

    • Deposit into the positive vault to agree with "Bob is Trustworthy"
    • Deposit into the negative vault to disagree with "Bob is Trustworthy"
    • Not deposit to remain neutral

    depositTriple

    function depositTriple(
    address receiver,
    uint256 id
    ) external payable nonReentrant whenNotPaused returns (uint256)

    Parameters

    • receiver: Address to receive the vault shares
    • id: Vault ID of the Triple (positive or negative vault)
    • value: Amount of ETH to deposit
    • Returns: uint256 - Amount of shares received

    Implementation

    // useDepositTriple Hook
    import { type GetContractReturnType } from 'viem'
    import { base } from 'viem/chains'
    import { useContractWriteAndWait } from './useContractWriteAndWait'
    import { useMultivaultContract } from './useMultivaultContract'

    export const useDepositTriple = () => {
    const multivault = useMultivaultContract(
    base.id
    ) as GetContractReturnType

    return useContractWriteAndWait({
    ...multivault,
    functionName: 'depositTriple',
    })
    }

    // Usage Example
    const {
    writeAsync: writeDepositTriple,
    awaitingWalletConfirmation,
    awaitingOnChainConfirmation,
    } = useDepositTriple()

    async function handleDepositTriple(tripleId: string, amount: bigint, isPositive: boolean) {
    if (!awaitingOnChainConfirmation && !awaitingWalletConfirmation && writeDepositTriple) {
    try {
    // Get the appropriate vault ID based on positive/negative attestation
    const vaultId = isPositive ? tripleId : await getCounterIdFromTriple(tripleId)

    const tx = await writeDepositTriple({
    address: MULTIVAULT_CONTRACT_ADDRESS,
    abi: multivaultAbi,
    functionName: 'depositTriple',
    args: [address, BigInt(vaultId)],
    value: amount,
    })

    if (tx?.hash) {
    const receipt = await publicClient.waitForTransactionReceipt({
    hash: tx.hash,
    })
    // Handle success
    }
    } catch (error) {
    // Handle error
    }
    }
    }

    redeemTriple

    function redeemTriple(
    uint256 shares,
    address receiver,
    uint256 id
    ) external nonReentrant returns (uint256)

    Parameters

    • shares: Number of vault shares to redeem
    • receiver: Address to receive the redeemed ETH
    • id: Vault ID of the Triple (positive or negative vault)
    • Returns: uint256 - Amount of ETH received

    Implementation

    // useRedeemTriple Hook
    import { type GetContractReturnType } from 'viem'
    import { base } from 'viem/chains'
    import { useContractWriteAndWait } from './useContractWriteAndWait'
    import { useMultivaultContract } from './useMultivaultContract'

    export const useRedeemTriple = () => {
    const multivault = useMultivaultContract(
    base.id
    ) as GetContractReturnType

    return useContractWriteAndWait({
    ...multivault,
    functionName: 'redeemTriple',
    })
    }

    // Usage Example
    const {
    writeAsync: writeRedeemTriple,
    awaitingWalletConfirmation,
    awaitingOnChainConfirmation,
    } = useRedeemTriple()

    async function handleRedeemTriple(tripleId: string, shares: bigint, isPositive: boolean) {
    if (!awaitingOnChainConfirmation && !awaitingWalletConfirmation && writeRedeemTriple) {
    try {
    // Get the appropriate vault ID based on positive/negative attestation
    const vaultId = isPositive ? tripleId : await getCounterIdFromTriple(tripleId)

    const tx = await writeRedeemTriple({
    address: MULTIVAULT_CONTRACT_ADDRESS,
    abi: multivaultAbi,
    functionName: 'redeemTriple',
    args: [shares, address, BigInt(vaultId)],
    })

    if (tx?.hash) {
    const receipt = await publicClient.waitForTransactionReceipt({
    hash: tx.hash,
    })
    // Handle success
    }
    } catch (error) {
    // Handle error
    }
    }
    }

    Triple Vaults

    Each Triple has two associated vaults:

    1. Positive Vault:
      • Used for agreeing with the Triple's statement
      • Shares represent support for the claim
      • Value increases with positive attestations
      • ID is the same as the Triple's ID
    2. Negative Vault:
      • Used for disagreeing with the Triple's statement
      • Shares represent opposition to the claim
      • Value increases with negative attestations
      • ID can be retrieved using getCounterIdFromTriple(tripleId)

    Users can only attest to one vault at a time for a given Triple. To switch positions, users must first redeem their shares from one vault before depositing into the other.

    Cost Considerations

    1. Deposit Fees:
      • Entry fee: Percentage taken from deposit
      • Protocol fee: Portion sent to protocol treasury
    2. Redemption Fees:
      • Exit fee: Percentage taken from withdrawal
      • Protocol fee: Portion sent to protocol treasury

    See also:

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    Retrieve Vault Details

    The Intuition protocol's EthMultiVault contract manages complex state involving Atoms, Triples, and their associated vaults. When interacting with these primitives we recommend retrieving the state data directly from the EthMultiVault contract.

    We utilize multicall operations that batch multiple read-only contract calls into a single request. This approach significantly reduces RPC calls and provides data you’ll need for contract interactions, such as the atomCost that is referenced in the Create Atom guide.

    Implementation

    This implementation guide assumes that you’ve completed the steps in the Contract Interactions: Getting Started guide. Steps for creating the createMultivaultContract and the publicClient referenced in this implementation example can be found in the Contract Interactions: Getting Started guide.

    We recommend creating a multivault.ts that includes the following:


    // createMultiVaultcontract
    const multiVaultContract = createMultiVaultContract(contract)


    // Core multicall configuration
    const coreContractConfigs = [
    {
    ...multiVaultContract,
    functionName: 'vaults',
    args: [vid],
    },
    {
    ...multiVaultContract,
    functionName: 'currentSharePrice',
    args: [vid],
    },
    // ... additional calls
    ]

    // Execute multicall
    const resp: MulticallResponse[] = await publicClient.multicall({
    contracts: coreContractConfigs,
    })

    Here is a full example of the multicall pattern used in the getMultivaultConfig function:

    export async function getMultiVaultConfig(contract: string) {
    const multiVaultContract = createMultiVaultContract(contract)

    const coreContractConfigs = [
    {
    ...multiVaultContract,
    functionName: 'generalConfig',
    args: [],
    },
    {
    ...multiVaultContract,
    functionName: 'vaultFees',
    args: [0],
    },
    {
    ...multiVaultContract,
    functionName: 'atomConfig',
    args: [],
    },
    ]

    const resp: MulticallResponse[] = await publicClient.multicall({
    contracts: coreContractConfigs,
    })

    const admin = resp[0].result[0] as `0x${string}`
    const protocol_vault = resp[0].result[1] as `0x${string}`
    const fee_denominator = resp[0].result[2] as bigint
    const formatted_fee_denominator = formatUnits(fee_denominator, 18)
    const min_deposit = resp[0].result[3] as bigint
    const formatted_min_deposit = formatUnits(min_deposit, 18)
    const min_share = resp[0].result[4] as bigint
    const formatted_min_share = formatUnits(min_share, 18)
    const entry_fee = resp[1].result[0] as bigint
    const formatted_entry_fee = formatUnits(entry_fee, 18)
    const exit_fee = resp[1].result[1] as bigint
    const formatted_exit_fee = formatUnits(exit_fee, 18)
    const protocol_fee = resp[1].result[2] as bigint
    const formatted_protocol_fee = formatUnits(protocol_fee, 18)
    const atom_cost = resp[2].result[0] as bigint
    const formatted_atom_cost = formatUnits(atom_cost, 18)
    const atom_creation_fee = resp[2].result[1] as bigint
    const formatted_atom_creation_fee = formatUnits(atom_creation_fee, 18)

    return {
    admin,
    protocol_vault,
    fee_denominator: fee_denominator.toString(),
    formatted_fee_denominator,
    min_deposit: min_deposit.toString(),
    formatted_min_deposit,
    min_share: min_share.toString(),
    formatted_min_share,
    entry_fee: entry_fee.toString(),
    formatted_entry_fee,
    exit_fee: exit_fee.toString(),
    formatted_exit_fee,
    protocol_fee: protocol_fee.toString(),
    formatted_protocol_fee,
    atom_cost: atom_cost.toString(),
    formatted_atom_cost,
    atom_creation_fee: atom_creation_fee.toString(),
    formatted_atom_creation_fee,
    } as MultivaultConfig
    }

    For a full example of how we implement all of our EthMultiVault multicalls you can look at a reference implementation in our monorepo:

    - [https://github.com/0xIntuition/intuition-ts/blob/main/apps/portal/app/.server/multivault.ts](https://github.com/0xIntuition/intuition-ts/blob/main/apps/portal/app/.server/multivault.ts)

    Key Functions

    We use this multicall pattern to retrieve configuration that we’re able to use throughout the app:

    • getVaultDetails: Retrieves comprehensive vault information including:
      • Total assets and conviction
      • Current share price
      • Fee configurations
      • User-specific positions (when wallet address provided)
      • Counter-vault details (for Triples)
    • getMultiVaultConfig: Retrieves global protocol configuration including:
      • Fee structures
      • Minimum deposits
      • Protocol admin addresses

    Usage Example

    The full getVaultDetails function follows the same pattern used in the getMultiVaultConfig example but is too large to include in the docs. We recommend looking at https://github.com/0xIntuition/intuition-ts/blob/main/apps/portal/app/.server/multivault.ts for a full reference implementation.

    // Fetch vault and countervault details with user positions:
    const vaultDetails = await getVaultDetails(
    MULTIVAULT_CONTRACT_ADDRESS,
    vaultId,
    userWallet,
    counterVaultId
    )

    // Access formatted values such as atom_cost and triple_cost
    console.log({
    atomCost: vaultDetails.atom_cost,
    tripleCost: vaultDetails.triple_cost,
    })

    See also:

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    Page Not Found

    We could not find what you were looking for.

    Please contact the owner of the site that linked you to the original URL and let them know their link is broken.

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    FAQ

    What is Intuition building?

    We're using decentralized technologies to enhance human interaction, unify the online experience, and redefine how data and value are shared across networks. At Intuition, we believe that the future of the internet is about aligning incentives in a way that benefits users, creators, and platforms alike, ultimately empowering individuals to own their data and make more informed choices online.

    Intuition is building a powerful and versatile ecosystem of apps and developer tooling on top of the world’s first open and semantic social and knowledge graph. This new data layer makes it easy for anyone to capture and curate verifiable social wisdom, free from the limitations of application-specific silos. It aims to enhance the trustworthiness of digital interactions by creating a permissionless and open data environment.

    How does Intuition differ from other identity platforms?

    Intuition is a peer-to-peer knowledge-sharing ecosystem with features to support utility in Web3 and beyond. Core features of the platform include:

    - **Decentralized Identifiers:** Introducing unique, persistent, canonical identifiers for all things—not just people.
    - **Traversable Attestations:** Many-to-one attestations that are uniquely structured to make verifiable data more discoverable and usable.
    - **Data Neutrality Framework:** Open, transparent standards fostering an ecosystem where data and services can interact without barriers or bias, promoting innovation, competition, fairness, and truth.
    - **Incentivized Standards:** Rewards for creating and curating valuable information that others interact with, facilitating engagement and enhancing quality.

    What is 'The Portal' in Intuition?

    The Portal is Intuition’s flagship application, offering seamless access to the social and knowledge graph. Positioned at the application layer, the Portal provides an intuitive interface for users to create, manage, and interact with Identities (Atoms) and Claims (Triples). It serves as the primary gateway for establishing decentralized identities, making claims, and managing your stake, transforming the exploration of the knowledge graph into an accessible and user-friendly experience.

    What is a decentralized identifier (DID) and how is it used in Intuition?

    A DID is a unique identifier assigned to entities like people, organizations, or products. In Intuition, each DID is associated with an Atom, forming the basis for building identities and claims. These DIDs enable secure and verifiable data exchanges without relying on a central authority.

    What are 'Identities' and 'Claims' in the context of Intuition?

    Identities are associated with what Intuition calls ‘Atoms’ and are the fundamental units of knowledge in the Intuition ecosystem, representing individual entities or entire concepts. Claims are associated with what Intuition calls ‘Triples’, which are combinations of three Atoms into a semantic structure (Subject, Predicate, Object). Triples allow expression of relationships between entities and are designed to enable complex data interactions and assertions.

    For user facing applications like The Portal, the terms ‘Identity’ and ‘Claim’ are used in place of the more technical ‘Atom’ and ‘Triple’ nomenclature used by the broader platform to define the foundational building blocks of the Intuition knowledge graph.

    How does staking work on Intuition?

    Staking allows users to express their conviction in an Identity or Claim by depositing ETH. When you stake on an Identity or Claim, you are signaling its importance or accuracy. Staking can earn you shares of the fees generated by that entity, making it a way to support and profit from valuable data.

    What role do economic incentives play on the platform?

    Incentives play a massive role in determining the ultimate utility of the Intuition knowledge graph. Since economic weight serves as the basis for the validity of claims, the protocol is designed around incentivizing users to signal their conviction in claims and identities by staking on them and doing so early.

    User earn rewards for creating and interacting with data within the Intuition system and incentives are designed around encouraging early and meaningful contributions. This model helps in building consensus and promoting data quality. Intuition’s market-driven consensus model also drives incentivizes the adoption of standardized data formats and identifiers.

    What is the purpose of attestations on Intuition?

    Attestations are cryptographic signatures that express a user's stance on a particular Claim or Identity. In the Intuition ecosystem users can attest to Identities and Claims. The implication is slightly different for each. At the core of the interaction is the ability for users to state what they believe, and to place ETH behind this statement.

    Intuition’s novel primitives allow for many-to-one attestations, where users signal their agreeance by depositing on a single instance of each claim. Signals are the equivalent of attestations in the Intuition system. Users hold positions on Atoms and Triples, signaling their stance by increasing their balance on the relevant entities. This approach enables nuanced expression of trust and belief, allowing for a dynamic and tiered system of preferences within the decentralized ecosystem.

    How can developers use Intuition in their applications?

    Intuition offers APIs and SDKs that developers can use to integrate its data structures into their applications. This allows apps to leverage decentralized data, replace traditional likes or endorsements with attestations, and benefit from a shared, interoperable knowledge graph. Developers can create applications that enhance user privacy, security, and control over data.

    How does Intuition ensure data privacy and security?

    The platform uses robust cryptographic techniques to ensure data integrity and user privacy. Information within Intuition can be verified by all parties involved without exposing sensitive data. This transparency, combined with user-controlled identities and data, provides a secure environment for digital interactions.

    What are Token Curated Registries (TCRs) and how are they used in Intuition?

    TCRs in Intuition are lists where entries are curated based on user stakes. Users stake tokens on Identities or Claims, determining their relevance and importance. This approach ensures that the most trusted and widely accepted data rises to prominence, enabling users to navigate and interact with high-quality information.

    What is meant by 'trustful interactions' on Intuition?

    Trustful interactions refer to digital exchanges where users can rely on the integrity of the system and the data within it. Intuition’s infrastructure allows for interactions that are verifiable, transparent, and secure, fostering confidence in the accuracy of data and the authenticity of participants.

    Can Intuition handle both objective and subjective data?

    Yes, Intuition is designed to handle both objective facts and subjective opinions. Through its semantic data structures and decentralized attestations, the platform allows users to express verifiable truths as well as opinions, creating a comprehensive data layer that reflects various perspectives.

    How does Intuition capture value?

    Intuition captures value through a system of fees associated with user interactions on the platform. Similar to gas fees in other blockchain systems, users pay small fees for actions like creating or endorsing identities and claims. These fees serve two main purposes:

    - **Gaining Ownership:** Users earn partial ownership of data they interact with. The earlier a user contributes, the more they can gain as others continue to use and reference the data.
    - **Rewarding Prior Contributors:** A portion of fees is distributed to users who contributed to the data earlier, encouraging early and meaningful participation in the ecosystem.

    Is the Intuition project open source?

    Intuition’s vision is centered on giving developers access to verifiable social wisdom and providing open-source tooling to explore new use cases. While parts of the platform, such as the API and SDK, are made available for community contributions and use, Intuition retains its own proprietary implementations. This approach balances the need for open access with the ability to maintain unique, internal developments.

    How does Intuition support interoperability in the Web3 ecosystem?

    Intuition’s data structure is chain-agnostic and permissionless, meaning it can integrate with various blockchains and Web3 applications. This open approach allows data and services to interact seamlessly across different platforms, reducing silos and fostering innovation in the decentralized space.

    What benefits does Intuition provide to early adopters?

    Early adopters who interact with new data and create valuable information on the platform earn more rewards as their contributions gain traction. This system incentivizes users to participate early and actively, allowing them to benefit from the growth of data they help to establish.

    Who can benefit from using Intuition?

    Intuition is ideal for developers, organizations, and individuals looking to leverage decentralized data and identity solutions. It is particularly useful for those seeking to create verifiable claims, manage digital identities, or integrate decentralized trust mechanisms into their applications.

    What are the next steps for new users on Intuition?

    New users can start by creating an Identity (Atom) on The Portal, making claims, or exploring existing data on the platform. A Quick Start Guide is available to walk users through creating and managing Identities, making claims, and participating in the staking process.

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    The Intuition System

    Intuition is an ecosystem of technologies composing a universal and permissionless knowledge graph, capable of handling both objective facts and subjective opinions. Intuition’s vertically integrated knowledge stack offers a comprehensive suite of developer tooling to streamline the development of the next generation of technologies powered by humanity’s collective intuition.

    Intuition’s open social knowledge graph is built to harness collective wisdom in a structured, permissionless, and fully decentralized manner. The system’s resulting state is open and accessible to everyone, enabling limitless use cases and expanding the information available about the countless entities we engage with daily—whether it’s a pseudonym, a smart contract, an organization, or a piece of content. This approach empowers users with a richer understanding of the ecosystem and facilitates more informed interactions.

    State of the Graph

    The Intuition system leverages a combination of on and off chain interactions to create, store, and manage data within the Intuition knowledge graph in the following ways:

    On-Chain

    • Atom creation and the instantiation of their associated Smart Contract Wallets. Atoms may link to any arbitrary data via their atomURI, allowing any data across the web to be captured in the Intuition System.
    • Triple creation and the instantiation of the associated Vaults for Attestations "For" and Attestations "Against", allowing for the creation of semantic relationships between Atoms to express arbitrarily-complex statements.
    • Signal creation, allowing users to express themselves using Atoms and Triples.
    • The unified system state - which can be likened to the nodes, edges, and weights of the knowledge graph.

    ˍ

    Off-Chain

    • All rich/heavy metadata pertaining to Atoms and Triples is stored off-chain, such as pictures, long-form descriptions, and references.
    • All system data is aggregated off-chain via our infrastructure and services, to enable easy querying

    Analogy

    NFTs are a common example of where you blend on and off-chain components to gain the benefits of on-chain ownership, immutability with off-chain rich metadata and flexibility.

    While the contract mints the ERC-721 and is stored as token on-chain with transfers and ownership records, the detailed metadata is stored off-chain.

    Foundation


    The Trust Protocol

    The Intuition protocol provides the infrastructure for a new information economy, using cryptoeconomic incentives to promote the expression of high-quality, semantic data. Specifically, the protocol is designed to promote:

    1. the creation of useful data
    2. convergence on universal canonical identifiers for all things
    3. convergence on data standards, schemas, and formats

    By rewarding users for contributing useful data and fostering consensus on canonical identifiers and shared data standards, the Intuition protocol creates a unified framework where data can be transparently sourced, verified, and enriched.

    Intuition’s infrastructure also facilitates the creation of decentralized identity and reputation data via peer-to-peer attestations about any subject and its decentralized identifier (DID). If someone endorses you as trustworthy, that metadata will no longer be associated with just the LinkedIn you, or the Twitter you. Instead of being stuck within a given platform, the knowledge tied to DIDs can be leveraged and contributed to by any application.

    The Intuition Protocol is designed to be completely unopinionated, allowing anyone to make attestations about anything. This approach encourages the creation of valuable data and makes navigating the resulting information straightforward. Users can search for a specific person or smart contract to view associated claims or use a set of tags to identify entities matching particular criteria. Rather than making judgments about the validity of claims, Intuition enables the principle of ‘anyone can say anything about anything,’ and provides robust tools to explore, analyze, and filter what has been said.

    Services


    Indexing

    The Indexing layer of Intuition seamlessly integrates both on-chain and off-chain data into a unified, semantic knowledge graph. This structured framework provides developers with access to a rich, context-aware dataset that transcends traditional data silos, allowing for a web-wide view that enhances the depth and precision of applications built on the protocol. By indexing data from smart contracts, decentralized storage solutions, and even traditional web data sources, Intuition creates a comprehensive ecosystem where relationships between entities are clearly defined and easily navigable.

    With powerful indexing capability, applications gain enhanced reliability and flexibility, supporting use cases such as advanced DeFi analytics, verifiable reputation systems, and cross-platform identity solutions. This comprehensive approach not only simplifies data retrieval but also empowers developers to build more innovative applications that make full use of the Web3 ecosystem.

    Data Access

    Intuition’s Trust Graph is designed for maximum accessibility and usability by applications. The Data Access layer allows developers to stream real-time data from the knowledge graph to the database best suited for their use case. The knowledge graph can also be queried directly, empowering developers to build responsive, data-driven applications and ensures that queries can be executed with high efficiency, enabling applications to surface insights that would otherwise remain hidden. Developers can benefit from features like real-time data updates and semantic tagging, which facilitate deeper analysis and improved decision-making.

    Modules


    App Development

    Modules are any application integrated with Intuition. While our vision involves every app across the web being integrated, we are focusing on building a few applications ourselves to bootstrap the ecosystem by seeding utility of the knowledge graph.

    Intuition’s initial flagship application, The Portal, allows users to create, navigate, aggregate, and curate attestations regarding people and things within the web3 ecosystem, a space where qualitative reputation and identity data is acutely lacking. Leveraging users’ social graphs (i.e., the people and organizations they “follow”) and distributed trust algorithms (e.g., EigenTrust), the application will be able to prioritize the display of relevant activity and tailor attestation weighting.

    Other in-house applications include a Browser Extension, MetaMask Snap, Mobile App, and Data Populator - each serving its own unique function in demonstrating the power of the Intuition System.

    Intuition’s initial application allows users to create and navigate attestations regarding people and things within the web3 ecosystem, a space where qualitative reputation and identity data is acutely lacking. Leveraging users’ social graphs (i.e., the people and organizations they “follow”) and distributed trust algorithms (e.g., EigenTrust), the application will be able to prioritize the display of relevant activity and tailor attestation weighting. In-house applications are built with composability and re-usability in mind and aim to make it as easy as possible for others to also build on top of Intuition through the open-sourcing of our front-end libraries.

    SDK

    Intuition offers templates, component libraries, and pre-built integrations to significantly reduce development complexity. Removing much of the integration work allows developers to focus on innovating, achieve faster deployments, and ensure a high-quality user experience.

    Intuition’s SDK empowers developers to seamlessly integrate attestations into their existing features, enhancing the visibility, utility, and incentives of the data they already generate. For example, a “thumbs up” for a Web3 app on a product hunt site or a “like” on social platform content can exist on Intuition’s open graph instead of being locked within app-specific silos. This data can then be easily queried and displayed across applications, enriching the user experience.

    Development efforts in the future will focus on building out and enhancing the SDK to support evolving developer needs and new use cases.

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    The Intuition System

    Intuition is an ecosystem of technologies composing a universal and permissionless knowledge graph, capable of handling both objective facts and subjective opinions. Intuition’s vertically integrated knowledge stack offers a comprehensive suite of developer tooling to streamline the development of the next generation of technologies powered by humanity’s collective intuition.

    Intuition’s open social knowledge graph is built to harness collective wisdom in a structured, permissionless, and fully decentralized manner. The system’s resulting state is open and accessible to everyone, enabling limitless use cases and expanding the information available about the countless entities we engage with daily—whether it’s a pseudonym, a smart contract, an organization, or a piece of content. This approach empowers users with a richer understanding of the ecosystem and facilitates more informed interactions.

    State of the Graph

    The Intuition system leverages a combination of on and off chain interactions to create, store, and manage data within the Intuition knowledge graph in the following ways:

    On-Chain

    • Atom creation and the instantiation of their associated Smart Contract Wallets. Atoms may link to any arbitrary data via their atomURI, allowing any data across the web to be captured in the Intuition System.
    • Triple creation and the instantiation of the associated Vaults for Attestations "For" and Attestations "Against", allowing for the creation of semantic relationships between Atoms to express arbitrarily-complex statements.
    • Signal creation, allowing users to express themselves using Atoms and Triples.
    • The unified system state - which can be likened to the nodes, edges, and weights of the knowledge graph.

    ˍ

    Off-Chain

    • All rich/heavy metadata pertaining to Atoms and Triples is stored off-chain, such as pictures, long-form descriptions, and references.
    • All system data is aggregated off-chain via our infrastructure and services, to enable easy querying

    Analogy

    NFTs are a common example of where you blend on and off-chain components to gain the benefits of on-chain ownership, immutability with off-chain rich metadata and flexibility.

    While the contract mints the ERC-721 and is stored as token on-chain with transfers and ownership records, the detailed metadata is stored off-chain.

    Foundation


    The Trust Protocol

    The Intuition protocol provides the infrastructure for a new information economy, using cryptoeconomic incentives to promote the expression of high-quality, semantic data. Specifically, the protocol is designed to promote:

    1. the creation of useful data
    2. convergence on universal canonical identifiers for all things
    3. convergence on data standards, schemas, and formats

    By rewarding users for contributing useful data and fostering consensus on canonical identifiers and shared data standards, the Intuition protocol creates a unified framework where data can be transparently sourced, verified, and enriched.

    Intuition’s infrastructure also facilitates the creation of decentralized identity and reputation data via peer-to-peer attestations about any subject and its decentralized identifier (DID). If someone endorses you as trustworthy, that metadata will no longer be associated with just the LinkedIn you, or the Twitter you. Instead of being stuck within a given platform, the knowledge tied to DIDs can be leveraged and contributed to by any application.

    The Intuition Protocol is designed to be completely unopinionated, allowing anyone to make attestations about anything. This approach encourages the creation of valuable data and makes navigating the resulting information straightforward. Users can search for a specific person or smart contract to view associated claims or use a set of tags to identify entities matching particular criteria. Rather than making judgments about the validity of claims, Intuition enables the principle of ‘anyone can say anything about anything,’ and provides robust tools to explore, analyze, and filter what has been said.

    Services


    Indexing

    The Indexing layer of Intuition seamlessly integrates both on-chain and off-chain data into a unified, semantic knowledge graph. This structured framework provides developers with access to a rich, context-aware dataset that transcends traditional data silos, allowing for a web-wide view that enhances the depth and precision of applications built on the protocol. By indexing data from smart contracts, decentralized storage solutions, and even traditional web data sources, Intuition creates a comprehensive ecosystem where relationships between entities are clearly defined and easily navigable.

    With powerful indexing capability, applications gain enhanced reliability and flexibility, supporting use cases such as advanced DeFi analytics, verifiable reputation systems, and cross-platform identity solutions. This comprehensive approach not only simplifies data retrieval but also empowers developers to build more innovative applications that make full use of the Web3 ecosystem.

    Data Access

    Intuition’s Trust Graph is designed for maximum accessibility and usability by applications. The Data Access layer allows developers to stream real-time data from the knowledge graph to the database best suited for their use case. The knowledge graph can also be queried directly, empowering developers to build responsive, data-driven applications and ensures that queries can be executed with high efficiency, enabling applications to surface insights that would otherwise remain hidden. Developers can benefit from features like real-time data updates and semantic tagging, which facilitate deeper analysis and improved decision-making.

    Modules


    App Development

    Modules are any application integrated with Intuition. While our vision involves every app across the web being integrated, we are focusing on building a few applications ourselves to bootstrap the ecosystem by seeding utility of the knowledge graph.

    Intuition’s initial flagship application, The Portal, allows users to create, navigate, aggregate, and curate attestations regarding people and things within the web3 ecosystem, a space where qualitative reputation and identity data is acutely lacking. Leveraging users’ social graphs (i.e., the people and organizations they “follow”) and distributed trust algorithms (e.g., EigenTrust), the application will be able to prioritize the display of relevant activity and tailor attestation weighting.

    Other in-house applications include a Browser Extension, MetaMask Snap, Mobile App, and Data Populator - each serving its own unique function in demonstrating the power of the Intuition System.

    Intuition’s initial application allows users to create and navigate attestations regarding people and things within the web3 ecosystem, a space where qualitative reputation and identity data is acutely lacking. Leveraging users’ social graphs (i.e., the people and organizations they “follow”) and distributed trust algorithms (e.g., EigenTrust), the application will be able to prioritize the display of relevant activity and tailor attestation weighting. In-house applications are built with composability and re-usability in mind and aim to make it as easy as possible for others to also build on top of Intuition through the open-sourcing of our front-end libraries.

    SDK

    Intuition offers templates, component libraries, and pre-built integrations to significantly reduce development complexity. Removing much of the integration work allows developers to focus on innovating, achieve faster deployments, and ensure a high-quality user experience.

    Intuition’s SDK empowers developers to seamlessly integrate attestations into their existing features, enhancing the visibility, utility, and incentives of the data they already generate. For example, a “thumbs up” for a Web3 app on a product hunt site or a “like” on social platform content can exist on Intuition’s open graph instead of being locked within app-specific silos. This data can then be easily queried and displayed across applications, enriching the user experience.

    Development efforts in the future will focus on building out and enhancing the SDK to support evolving developer needs and new use cases.

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    jcacldhlSh(i2L7s4m(FMBV|5M zBaO5bQBok+cR2-R7Cd8|ra3^i#<4*_*A&uu$;5ybf1@&rj_(X^t^eV_{_x!g?7vi0 zX<==BQ5y7yfp=scm)8Jgl+N0W$A?*$APd?e7xHuWIsi%XCF212EW8bPnBqSzu$y^x zt?P*rpndgqCSZoCSY_X_c3m?J0hBmcFM!XhE~0u}s6==v$L#$Mu9Q^364i?Py5JJE6Vt+f8gb{@m*%wfS>44iOKMhN4Q@-v|LIKSn6uo9XKkN$30Nlj}% zE3TD%dgqbtG_$^~R7F;z9ChPE;B*9y79jSN~r4(51 zOW_()87toxUtga=Y}=KE-1?`g7`_lf6DL?~ewM!8I8;dFF1r z?f$*L`J2DFM*-K~z*g3WII}6`H4X2pl1n*|IcCb;9r?!3l6=KromvgGE?Xqt5!qoO zy~pbPu>O$VBO2P`*RTEhyI*?5p$|y|=7?fCngNWV(MJPnHQJ#L*C~)&APCdOKp)}U z7T~d#JJrkJDz@aKVbl7BPbN0)QL%i0;eyEY$w);ftFISfUN%X|@?4}Eyshnwdprq0Dnme6BAer&~+ zS6;c+F2cGj1FigbTEC>7WSoh6?6HSDNKHDz!CO)9X-jkH-xvQ#*wJ0I5s9A5`^*&V1^VpZv?c_IU2f z0~aqA$i+0KK!F}l`?ugNbXF~pZoN#1{ZH|3w}-m2S!}6}?+Dfl`W6vk&m7Q=2wza8 z3zc(B$F+Xdx@4ygf?bYVadcK8kP6E!PRm5lG@vMvW=ci$;+)f<%pH0a=`$(z-|9)` z{cyV>JK{wI(9O1@y%t@s>r|_k-(AiLRgiGMCnUC)zx?GdU-RWJfB6i8tm>T9L#uDe znBhtd7QDsP8rYsmCD9Z?5;1cMvKt#|ZjxI!_cZ#lwfBns7ave;CNa8i02p)f7b%b6@2ychBW#0LV=t=$)_e!sw2nC9h}#l2{qFR)VAJf>r*

    This flow of value is enabled by Intuition’s innovative approach to data representation, which encompasses Atoms, Triples, and Signal. By structuring data into fractals via discrete, ownable fragments, this model allows for the programmatic distribution of value throughout the system’s state.

    Consider a user who wishes to create a new data entry stating that they like a YouTube video. The user must pay a fee to create this data, part of which grants them ownership in the statement and part of which rewards previous owners of related data. Other users who agree with this statement can also pay a fee to do so explicitly, reinforcing the validity and increasing the value of the data. This process helps to ensure that only high-quality, relevant data remains prominent, as users are financially incentivized to support accurate and meaningful information.

    This economic model encourages users to interact with data they believe will attract further engagement. Because data structures in Intuition are explicit, users are motivated to converge not only on the entities/concepts/data themselves, but also on the most effective ways to describe and reference these entities/concepts/data. This creates an incentive for users to reach fractal consensus on data structures, from individual Atoms to complex nested Triples. By integrating these economic principles, Intuition not only secures the system against malicious attacks but also promotes a healthy, self-regulating ecosystem where users are rewarded for their contributions to the integrity and value of the data.

    - - + + \ No newline at end of file diff --git a/fr/136450d3-7d06-80d9-b8b6-c1d54dbb7348/index.html b/fr/136450d3-7d06-80d9-b8b6-c1d54dbb7348/index.html index 08dd3a90..acca8712 100644 --- a/fr/136450d3-7d06-80d9-b8b6-c1d54dbb7348/index.html +++ b/fr/136450d3-7d06-80d9-b8b6-c1d54dbb7348/index.html @@ -4,13 +4,13 @@ Browser Extension | Intuition Docs - - + +

    Browser Extension

    The Intuition Chrome Extension is your gateway to accessing the Intuition knowledge graph across the web. Seamlessly integrated with Intuition, this extension empowers you to bring your trusted network and personal insights to any website you visit, transforming your browsing experience with valuable context and enhanced security.

    Install it or contribute here: https://github.com/0xIntuition/intuition-chrome-extension

    - - + + \ No newline at end of file diff --git a/fr/136450d3-7d06-80db-b0e4-ce33963cdeb5/index.html b/fr/136450d3-7d06-80db-b0e4-ce33963cdeb5/index.html index dc8b04c9..11d899fb 100644 --- a/fr/136450d3-7d06-80db-b0e4-ce33963cdeb5/index.html +++ b/fr/136450d3-7d06-80db-b0e4-ce33963cdeb5/index.html @@ -4,16 +4,16 @@ Triples | Intuition Docs - - + +

    Triples

    With discrete units of data established through Atoms, defining relationships between these units to form higher-order structures is essential. Intuition achieves this by employing Semantic Triples, ensuring a uniform and discrete structure that can be prescribed a decentralized identifier and have some associated agent-centric state. This structure is essential for achieving consensus on arbitrarily sophisticated and expressive forms of data.

    Triples consist of three elements: Subject, Predicate, and Object, with each element represented as an Atom. This Subject-Predicate Object format allows users to clearly and explicitly define relationships between Atoms. These connections can be visualized as a graph where each node and edge is an Atom.

    For example, a Triple may have the structure: • Subject: “Bob” • Predicate: “age” -• Object: “34”

    In this example, each component—Subject, Predicate, and Object is an Atom, and the Triple expresses a specific relationship between these Atoms.

    Fractal Data Representations

    Triples offer a flexible yet structured method for representing data relationships. By allowing Triples to act as Atoms within other Triples, Intuition facilitates the expression, storage, and usage of arbitrarily complex data models that can scale and evolve over time. This flexibility is crucial for capturing intricate relationships and dynamics within data, enabling users to construct sophisticated applications and services on the Intuition framework. This approach maintains discrete, referenceable units for data at every layer of the structure, ensuring scalability and precision in data representation.

    Triple Ownership and Token Curated Registries

    Akin to the process outlined for Atoms, the structure of Triples allows users to gain fractional ownership of Triples through interaction. Each interaction generates interaction fees, which are distributed to the owners of each respective Triple, creating an incentivized Token Curated Registry (TCR) for data structures. The TCR encourages system participants to adopt common ways of structuring data by offering economic rewards. This approach promotes an organic, incentive-driven structuring of data, contrasting with more rigid and traditional methods such as standards committees, which often struggle to achieve effective standardization.

    - - +• Object: “34”

    In this example, each component—Subject, Predicate, and Object is an Atom, and the Triple expresses a specific relationship between these Atoms.

    Fractal Data Representations

    Triples offer a flexible yet structured method for representing data relationships. By allowing Triples to act as Atoms within other Triples, Intuition facilitates the expression, storage, and usage of arbitrarily complex data models that can scale and evolve over time. This flexibility is crucial for capturing intricate relationships and dynamics within data, enabling users to construct sophisticated applications and services on the Intuition framework. This approach maintains discrete, referenceable units for data at every layer of the structure, ensuring scalability and precision in data representation.

    Triple Ownership and Token Curated Registries

    Akin to the process outlined for Atoms, the structure of Triples allows users to gain fractional ownership of Triples through interaction. Each interaction generates interaction fees, which are distributed to the owners of each respective Triple, creating an incentivized Token Curated Registry (TCR) for data structures. The TCR encourages system participants to adopt common ways of structuring data by offering economic rewards. This approach promotes an organic, incentive-driven structuring of data, contrasting with more rigid and traditional methods such as standards committees, which often struggle to achieve effective standardization.

    + + \ No newline at end of file diff --git a/fr/136450d3-7d06-80e2-b4ff-fe8d6417e5d2/index.html b/fr/136450d3-7d06-80e2-b4ff-fe8d6417e5d2/index.html index 9098cd38..950fbfe1 100644 --- a/fr/136450d3-7d06-80e2-b4ff-fe8d6417e5d2/index.html +++ b/fr/136450d3-7d06-80e2-b4ff-fe8d6417e5d2/index.html @@ -4,13 +4,13 @@ Signal | Intuition Docs - - + +

    Signal

    Signal, in the context of Intuition, refers to any action or indication that expresses intent, belief, or support. Signals can be classified into three broad categories: explicit signal, implicit signal, and transitive signal. These signals play a crucial role in interpreting user behavior, beliefs, and preferences within the system.

    Explicit Signal

    An explicit signal is a clear, intentional action taken by a user to express support, belief, or intent. These actions are directly observable and often involve a formal mechanism within the system. Examples of explicit signals include voting mechanisms, where casting a vote represents a user’s preference. Verifiable claims and attestations are also forms of explicit signals; they are signed messages that convey specific information.

    For instance, a proof of humanity attestation from a trust anchor like Worldcoin is an explicit signal from Worldcoin that Worldcoin believes the entity to be human (a valuable data point for sybil resistance efforts).

    Implicit Signal

    Implicit signal involves indirect or inferred indications of support, belief, or intent. This signal is not always directly observable and are often deduced from user behavior or patterns. For example, the frequency and context of user interactions with certain data points can imply their support or belief. Implicit signal requires sophisticated analysis to interpret accurately, as it is embedded within the user’s activity data.

    Transitive Signal

    Transitive signal refers to the trust or belief that is passed along through a network of relationships. This type of signal leverages the idea that trust can be extended through connections. For example, if User A attests to something about User B, and User C trusts User A, then User C is likely to extend some level of trust to User B, even without a direct interaction. This transitive nature of trust is vital in decentralized systems like Intuition, where direct trust relationships are not always possible. By harnessing transitive signals, the system can create a more interconnected and trust-rich environment, where the credibility of one entity can influence the perception and trustworthiness of others within the network.

    Signal in Intuition


    Though all systems naturally generate implicit signal, explicit signal in Intuition is expressed in a novel format that enables and incentivizes the creation of many-to-one, non-deterministic attestations. In Intuition, these semantic statements do not have a single ‘issuer’ - instead, anyone/anything can signal support or rejection of any existing statement/attestation at any point in time. This decoupling of information from ‘who is presently expressing/supporting that information’ introduces the ability to accommodate many-to-one attestations, making the data significantly more usable - especially for more complex use cases that involve the concept of transitive signal, such as reputation.

    To accomplish this, the Intuition system enables users to maintain positions on Atoms and Triples, interpreting these positions as explicit signal from the user. This mechanism can be implemented using tokens or other accounting systems that have the ability to track user balances over time across an arbitrarily large number of entities.

    Atom Signal

    Within the Intuition framework, users signal their belief in the relevance of an Atom by adjusting their balance on that Atom. This balance can be increased or decreased arbitrarily.

    A balance of zero implies no signal, while any positive balance indicates a degree of belief in the Atom’s relevance. This mechanism is economically driven: users earn fees proportional to their ownership stake in an Atom as other users interact with it. Thus, if a user deems an Atom relevant, they are incentivized to signal its relevance to receive these rewards.

    Negative integers may be used if the Intuition system’s implementation aims to allow users to explicitly signal the irrelevance of an Atom. In systems without negative balances, the absence of a positive signal can serve as an indication of the Atom’s irrelevance.

    Triple Signal

    In the Intuition framework, users signal their belief in both the relevance and truthfulness of a Triple by modifying their balance on that Triple. Triple balances can be any integer, allowing for a nuanced expression of belief.

    A balance of zero indicates no signal. A negative balance signals a rejection of the Triple, explicitly indicating that the Triple is considered false, and that this falsehood is relevant.

    Conversely, a positive balance affirms the Triple, explicitly indicating that the Triple is considered true, and that this truthfulness is relevant.

    For example, with a Triple asserting “[Vitalik][is] [trustworthy],” users would express their belief in its truthfulness, and the relevancy of this truthfulness, by increasing their balance on the affirmative side of the Triple, or signal disbelief by decreasing their balance into the negative. This mechanism allows for nuanced expressions of trust and belief within the decentralized ecosystem.

    This system enables each “statement” to exist in different states based on who is affirming or rejecting it. To illustrate the power of this approach, consider the example of building a decentralized list of followers. In a traditional one-to-one model, where each claim or attestation has a single issuer, if a user had 1,000 followers, there would be 1,000 separate “following” claims. Most of this data would be redundant, as the “following Y” part would remain constant across all claims. Additionally, this data would only be easily reconcilable assuming consistent standards and schemas across all claims.

    In contrast, the Intuition model simplifies this by having a single Triple representing a statement such as “I am following Y.” Users would then adjust their balances on this statement to express their stance. To see all followers of Y, one would simply examine the “I am following Y” Triple and identify who has positive balances on the affirmative side. This approach consolidates data, reducing redundancy and making it easier to verify and aggregate information.

    Furthermore, the ability to adjust balances allows for a more nuanced expression of preferences. In the context of a ‘follow’ functionality, instead of a flat follow list where all followers are treated equally, users could explicitly signal varying levels of interest or endorsement. By increasing their balance on the followers they value more, users can effectively rank their follow list. This means that someone could show a stronger preference for certain individuals or entities by staking more tokens on their affirmations, creating a dynamic and tiered system of trust and preference. This not only enhances the granularity of data but also provides richer insights into user preferences and social dynamics within the network.

    - - + + \ No newline at end of file diff --git a/fr/136450d3-7d06-80e4-b943-ede1f9162510/index.html b/fr/136450d3-7d06-80e4-b943-ede1f9162510/index.html index 7aa8500e..c1c85bff 100644 --- a/fr/136450d3-7d06-80e4-b943-ede1f9162510/index.html +++ b/fr/136450d3-7d06-80e4-b943-ede1f9162510/index.html @@ -4,13 +4,13 @@ MetaMask Snap | Intuition Docs - - + +

    MetaMask Snap

    The Intuition Snap enhances your MetaMask experience by providing crowdsourced insights and context about Ethereum addresses you interact with. By leveraging the wisdom of the crowd, this Snap enables you to make more informed decisions about who you’re transacting with directly within your MetaMask wallet.

    Install it or contribute here: https://github.com/0xIntuition/intuition-snap

    - - + + \ No newline at end of file diff --git a/fr/136450d3-7d06-80f6-8f6c-d7fccdf5d877/index.html b/fr/136450d3-7d06-80f6-8f6c-d7fccdf5d877/index.html index 8b31ce95..c7107d02 100644 --- a/fr/136450d3-7d06-80f6-8f6c-d7fccdf5d877/index.html +++ b/fr/136450d3-7d06-80f6-8f6c-d7fccdf5d877/index.html @@ -4,13 +4,13 @@ Atoms | Intuition Docs - - + +
    -

    Atoms

    A system facilitating the arrival at social consensus around globally persistent canonical identifiers for all things demands that these identifiers possess a few key attributes.

    • Firstly, these identifiers should be decentralized identifiers, providing unique, secure, and verifiable identification without any reliance on a central authority.
    • Secondly, these identifiers should have a sufficient amount of associated data to ensure precise referencing of specific entities, concepts, or pieces of information. Without this contextual data, it would be unclear what each identifier is meant to represent.
    • Thirdly, these identifiers must have some agent-centric state that is capable of tracking the usage of the identifier across contexts. This enables the community to discern which identifiers are being most frequently used to represent different concepts in different settings.

    To solve for these requirements, the concepts of Atoms emerge as the foundation of the Intuition framework, representing the most fundamental units of data. These units can range from a single word to a complex concept, serving as discrete, manageable, and referenceable pieces of information that facilitate seamless data integration and manipulation across the web. By taking arbitrary data of any size and prescribing it a decentralized identifier, we can:

    • Start to reference data universally across the web.
    • Grant users equity in data as they signal its relevancy through usage.
    • Reward users for signaling the relevancy of data, thereby encouraging active participation and accurate data representation.

    Each Atom is made universally referenceable through a decentralized identifier. This approach ensures that every Atom is uniquely identifiable and can be consistently referenced across the web, maintaining data integrity and meaning regardless of the system or context.

    // An example DID

    did:ethr:mainnet:0x3b0bc51ab9de1e5b7b6e34e5b960285805c41736

    // An example DID Document

    {

    "id": "did:ethr:mainnet:0x3b0bc51ab9de1e5b7b6e34e5b960285805c41736",

    "verificationMethod": [

    {

    "id": "did:ethr:mainnet:0x3b0bc51ab9de1e5b7b6e34e5b960285805c41736#controller",

    "type": "EcdsaSecp256k1RecoveryMethod2020",

    "controller": "did:ethr:mainnet:0x3b0bc51ab9de1e5b7b6e34e5b960285805c41736",

    "blockchainAccountId": "eip155:1:0x3b0BC51Ab9De1e5B7B6E34E5b960285805C41736"

    }

    ],

    "authentication": [

    "did:ethr:mainnet:0x3b0bc51ab9de1e5b7b6e34e5b960285805c41736#controller"

    ],

    "assertionMethod": [

    "did:ethr:mainnet:0x3b0bc51ab9de1e5b7b6e34e5b960285805c41736#controller"

    ],

    "@context": [

    "https://www.w3.org/ns/did/v1",

    "https://w3id.org/security/suites/secp256k1recovery-2020/v2",

    "https://w3id.org/security/v3-unstable"

    ]

    }

    To ensure reliable referencing of entities, concepts, or data within an Atom, each Atom must include at least minimal corresponding data. This data can be of any type, stored anywhere, and presented in any format. However, using a Verifiable Data Registry and adhering to supported data structures and schemas is recommended. Doing so strengthens the data's usability through guarantees around immutability, availability, liveness, and persistence. The uniqueness of each Atom is enforced by hashing its underlying data, preventing duplicate Atoms for the same piece of data. For mutable data, it is essential to include a timestamp, ensuring that any future references understand exactly what the data represented at the moment of attestation.

    This approach allows Atoms to segment data into discrete, manageable units that can be easily combined and reused across diverse contexts and applications. By structuring data in this way, Atoms support adaptable and flexible digital systems, ensuring seamless interoperability across platforms. The composability of Atoms enhances the system’s functionality and versatility, allowing data to be efficiently leveraged in various settings and use cases.

    Atom Ownership and Token Curated Registries

    Given the permissionless nature of the system, multiple Atoms may be representative of the same concept. To foster consensus on high-quality Atoms and establish canonical identifiers for all things, Intuition employs the concept of a Token Curated Registry (TCR). In this model, users gain fractional ownership over the Atoms they interact with and receive a portion of the interaction fees each respective Atom generates, incentivizing engagement with popular Atoms. As users increasingly interact with these Atoms, a TCR emerges, ranking Atoms based on their relevance using metrics such as an Atom’s Total Value Locked (TVL). This mechanism facilitates ecosystem convergence on and easy discoverability of the most valuable and widely accepted Atoms/identifiers representing each concept.

    - - +

    Atoms

    A system facilitating the arrival at social consensus around globally persistent canonical identifiers for all things demands that these identifiers possess a few key attributes.

    • Firstly, these identifiers should be decentralized identifiers, providing unique, secure, and verifiable identification without any reliance on a central authority.
    • Secondly, these identifiers should have a sufficient amount of associated data to ensure precise referencing of specific entities, concepts, or pieces of information. Without this contextual data, it would be unclear what each identifier is meant to represent.
    • Thirdly, these identifiers must have some agent-centric state that is capable of tracking the usage of the identifier across contexts. This enables the community to discern which identifiers are being most frequently used to represent different concepts in different settings.

    To solve for these requirements, the concepts of Atoms emerge as the foundation of the Intuition framework, representing the most fundamental units of data. These units can range from a single word to a complex concept, serving as discrete, manageable, and referenceable pieces of information that facilitate seamless data integration and manipulation across the web. By taking arbitrary data of any size and prescribing it a decentralized identifier, we can:

    • Start to reference data universally across the web.
    • Grant users equity in data as they signal its relevancy through usage.
    • Reward users for signaling the relevancy of data, thereby encouraging active participation and accurate data representation.

    Each Atom is made universally referenceable through a decentralized identifier. This approach ensures that every Atom is uniquely identifiable and can be consistently referenced across the web, maintaining data integrity and meaning regardless of the system or context.

    // An example DID

    did:ethr:mainnet:0x3b0bc51ab9de1e5b7b6e34e5b960285805c41736

    // An example DID Document

    {

    "id": "did:ethr:mainnet:0x3b0bc51ab9de1e5b7b6e34e5b960285805c41736",

    "verificationMethod": [

    {

    "id": "did:ethr:mainnet:0x3b0bc51ab9de1e5b7b6e34e5b960285805c41736#controller",

    "type": "EcdsaSecp256k1RecoveryMethod2020",

    "controller": "did:ethr:mainnet:0x3b0bc51ab9de1e5b7b6e34e5b960285805c41736",

    "blockchainAccountId": "eip155:1:0x3b0BC51Ab9De1e5B7B6E34E5b960285805C41736"

    }

    ],

    "authentication": [

    "did:ethr:mainnet:0x3b0bc51ab9de1e5b7b6e34e5b960285805c41736#controller"

    ],

    "assertionMethod": [

    "did:ethr:mainnet:0x3b0bc51ab9de1e5b7b6e34e5b960285805c41736#controller"

    ],

    "@context": [

    "https://www.w3.org/ns/did/v1",

    "https://w3id.org/security/suites/secp256k1recovery-2020/v2",

    "https://w3id.org/security/v3-unstable"

    ]

    }

    To ensure reliable referencing of entities, concepts, or data within an Atom, each Atom must include at least minimal corresponding data. This data can be of any type, stored anywhere, and presented in any format. However, using a Verifiable Data Registry and adhering to supported data structures and schemas is recommended. Doing so strengthens the data's usability through guarantees around immutability, availability, liveness, and persistence. The uniqueness of each Atom is enforced by hashing its underlying data, preventing duplicate Atoms for the same piece of data. For mutable data, it is essential to include a timestamp, ensuring that any future references understand exactly what the data represented at the moment of attestation.

    This approach allows Atoms to segment data into discrete, manageable units that can be easily combined and reused across diverse contexts and applications. By structuring data in this way, Atoms support adaptable and flexible digital systems, ensuring seamless interoperability across platforms. The composability of Atoms enhances the system’s functionality and versatility, allowing data to be efficiently leveraged in various settings and use cases.

    Atom Ownership and Token Curated Registries

    Given the permissionless nature of the system, multiple Atoms may be representative of the same concept. To foster consensus on high-quality Atoms and establish canonical identifiers for all things, Intuition employs the concept of a Token Curated Registry (TCR). In this model, users gain fractional ownership over the Atoms they interact with and receive a portion of the interaction fees each respective Atom generates, incentivizing engagement with popular Atoms. As users increasingly interact with these Atoms, a TCR emerges, ranking Atoms based on their relevance using metrics such as an Atom’s Total Value Locked (TVL). This mechanism facilitates ecosystem convergence on and easy discoverability of the most valuable and widely accepted Atoms/identifiers representing each concept.

    + + \ No newline at end of file diff --git a/fr/138450d3-7d06-80e9-a5a0-c3d29cfa648e/index.html b/fr/138450d3-7d06-80e9-a5a0-c3d29cfa648e/index.html index 50368dac..d5aa569c 100644 --- a/fr/138450d3-7d06-80e9-a5a0-c3d29cfa648e/index.html +++ b/fr/138450d3-7d06-80e9-a5a0-c3d29cfa648e/index.html @@ -4,13 +4,13 @@ Remix + Vite | Intuition Docs - - + +

    Remix + Vite

    Intuition App Templates

    Our opinionated templates provide out-of-the-box authentication with Privy, onchain interactions with Viem and Wagmi, and modern styling patterns with Tailwind.

    We dogfood our templates with our internal app development and then refine and share our learnings with the ecosystem. We’ll be adding more templates that leverage our core Neurofunk stack so be sure to star our https://github.com/0xIntuition/intuition-ts monorepo.

    Current Template

    Remix/Vite Neurofunk Stack

    Our flagship, opinionated template combines Remix with Vite, showcasing the stack we used to build Portal, Data Populator, and other production applications at Intuition. This template was featured in our ETHDenver 2024 presentation, where we shared our learnings and best practices that we discovered along the way. The integration of Vite with Remix enhances the development experience by offering:

    • Rapid hot module replacement (HMR)
    • Streamlined plugin system for easy extensibility
    • Improved support for modern web technologies
    • Faster feedback loops and build processes

    This combination significantly accelerates development cycles and simplifies the integration of tools like Tailwind CSS. While Remix currently supports Vite as an alternative compiler, Vite will become the default compiler for Remix in the future.

    Link to the Neurofunk Remix/Vite template in our monorepo:

    Template Stack

    Our Neurofunk stack includes:

    Prerequisites

    • Node.js: Before anything else, Remix requires that you have either a Active or Maintenance version of Node.js installed.
    • Base and Base Sepolia: Intuition is currently deployed on both Base and Base Sepolia. You'll need Base Sepolia for any writes to the Intuition protocol. Consider using a faucet such as Alchemy Base Sepolia Faucet.

    Development

    If you're running a project using the template from within the monorepo, you can run the dev server directly from the monorepo root:

    • pnpm run template:dev

    If you've cloned one of our templates into a standalone project, you can run directly from the project root:

    • pnpm run dev

    Future Templates

    We're actively working on additional templates to support different frameworks and use cases. Our goal is to provide a variety of starting points that leverage our Neurofunk stack while catering to different developer preferences and project requirements. Stay tuned for more templates, including:

    • Next.js (coming soon)
    • Vite React (coming soon)

    Check our https://github.com/0xIntuition/intuition-ts monorepo for the most up-to-date templates and READMEs including detailed documentation and setup instructions.

    ETHDenver 2024 Presentation

    We shared our learnings that informed the creation of the Neurofunk Remix/Vite template at a presentation in ETHDenver 2024.

    - - + + \ No newline at end of file diff --git a/fr/13b450d3-7d06-8024-8632-dce27db91d15/index.html b/fr/13b450d3-7d06-8024-8632-dce27db91d15/index.html index 0c4cfaf7..572418f2 100644 --- a/fr/13b450d3-7d06-8024-8632-dce27db91d15/index.html +++ b/fr/13b450d3-7d06-8024-8632-dce27db91d15/index.html @@ -4,14 +4,14 @@ GraphQL Mutations | Intuition Docs - - + +

    GraphQL Mutations

    Our GraphQL API provides convenient mutations to help structure and publish Atom metadata following common schemas and best practices. While the protocol supports any URI scheme, these mutations offer an opinionated approach to creating well-structured, interoperable data.

    Current Schema Support

    Currently, our default schema is the Thing schema. This provides essential properties for describing any entity:

    mutation UploadThing(
    $name: String!
    $description: String!
    $image: String!
    $url: String!
    ) {
    uploadThing(
    arg1: { name: $name, description: $description, image: $image, url: $url }
    ) {
    cid
    }
    }

    Example Usage

    {
    "name": "My First Thing",
    "description": "This is an example description",
    "image": "ipfs://Qm...", // IPFS URI for image
    "url": "<https://example.com>" // Reference URL
    }

    The mutation returns an IPFS CID that can be used when creating an Atom:

    const { cid } = await uploadThing(thingData)
    const atomId = await createAtom(cid)

    Upcoming Schema Support

    We are actively expanding our mutation support to include schemas from schema.org. Additionally, we'll be adding support for CAIP-10 addresses to enable cross-chain identity resolution.

    Best Practices

    1. Complete Metadata: Provide as much relevant metadata as possible to improve the Atom's utility across different contexts.
    2. Persistent Storage: All metadata is stored on IPFS, ensuring data availability and immutability.
    3. URI Standards: Use standard URI formats:
      • IPFS: ipfs://Qm...
      • HTTP(S): https://...
      • CAIP-10 (coming soon): eip155:1:0x...

    Example Workflows

    Basic Thing Creation

    // 1. Upload metadata
    const thingData = {
    name: 'Example Thing',
    description: 'Description...',
    image: 'ipfs://Qm...',
    url: 'https://...',
    }

    const { cid } = await uploadThing(thingData)

    // 2. Create Atom with returned CID
    const atomId = await createAtom(cid)

    TypeScript Integration

    We maintain a package, graphql within our intuition-ts monorepo that auto-generates TypeScript types and React hooks to make integrations easier. This includes type-safe mutations, queries, and React hooks for all supported schemas. We are actively finalizing patterns to properly externalize this package, which will be released shortly. This guide will be updated to provide example implementations once the package is released.

    Future Schema Support

    We are also actively expanding our mutation support to include schemas from schema.org as well as CAIP-10 addresses to enable cross-chain identity resolution.

    - - + + \ No newline at end of file diff --git a/fr/13b450d3-7d06-8026-b1ad-c15ba6c11515/index.html b/fr/13b450d3-7d06-8026-b1ad-c15ba6c11515/index.html index b7f19d7b..49e84ce9 100644 --- a/fr/13b450d3-7d06-8026-b1ad-c15ba6c11515/index.html +++ b/fr/13b450d3-7d06-8026-b1ad-c15ba6c11515/index.html @@ -4,13 +4,13 @@ Farcaster Frames | Intuition Docs - - + +

    Farcaster Frames

    The Intuition Farcaster Frame enables users to interact with the Intuition knowledge graph directly from the Farcaster protocol. With this frame, you can easily deposit on specific Atoms or Triples, allowing you to contribute knowledge and insights directly from within Farcaster.

    Get started here:

    intuition-frame-repo

    - - + + \ No newline at end of file diff --git a/fr/13b450d3-7d06-804c-9860-e2cfc7fa9db7/index.html b/fr/13b450d3-7d06-804c-9860-e2cfc7fa9db7/index.html index 18895b0c..fbf13398 100644 --- a/fr/13b450d3-7d06-804c-9860-e2cfc7fa9db7/index.html +++ b/fr/13b450d3-7d06-804c-9860-e2cfc7fa9db7/index.html @@ -4,13 +4,13 @@ Contact Us | Intuition Docs - - + +
    - - + + \ No newline at end of file diff --git a/fr/13b450d3-7d06-80d5-8ffe-f3841ac77ced/index.html b/fr/13b450d3-7d06-80d5-8ffe-f3841ac77ced/index.html index 4f803fa6..18e39236 100644 --- a/fr/13b450d3-7d06-80d5-8ffe-f3841ac77ced/index.html +++ b/fr/13b450d3-7d06-80d5-8ffe-f3841ac77ced/index.html @@ -4,8 +4,8 @@ State Interpretations | Intuition Docs - - + +
    @@ -13,7 +13,7 @@ By publishing this literal interpretation, the implementor allows others to observe and utilize this interpretation for various purposes.

    For example, another system might use this information to grant User A access to System Y based on their access to System X, to adjust their loan-to-value ratio in a financial application, or to affect their reputation in a particular context.

    The Intuition system facilitates the publication process of these literal interpretations, allowing stakeholders to register and share their interpretations as Atoms and/or Triples. By doing so, the system can be used recursively to create a registry of literal interpretations that promotes transparency and coordination. This registry enables the creation of programmatic languages on top of the Intuition protocol, leveraging the principles of discrete objects and their relationships to enforce logic and code.

    Algorithms

    In the Intuition framework, algorithms function as tools to filter and interpret data, distinct from literal interpretations which resolve to deterministic logic. Given a permissionless environment where anyone can claim anything about anything, algorithms play a crucial role, enabling signal to be effectively distilled from the noise and allowing users to focus on the voices they trust.

    Intuition rejects the idea of ‘truth lock-in,’ acknowledging that no single algorithm can be universally optimal. In response, Intuition promotes a diverse and permissionless ecosystem of algorithms that users and developers can select based on their specific requirements. This empowers users and developers to create, choose, and apply the most appropriate algorithms for their particular contexts. Such flexibility ensures that data filtering and interpretation can be customized to meet varied needs, thereby enhancing the overall utility and effectiveness of the Intuition framework.

    This approach contrasts sharply with the current internet landscape, where platform interactions often necessitate accepting a pre-set, opaque algorithm. Intuition envisions decoupling algorithms from applications, allowing individuals to use their preferred algorithms across different platforms - a flexibility made possible through interoperable and composable data.

    For instance, consider an algorithm that weights and filters data based on social graphs. In this model, a user who is one degree of separation away from the observer might have their signal weighted at 100%; at two degrees away, at 80%; and at three degrees away, at 60%. This allows for nuanced data interpretation based on social proximity.

    Reality Tunnels

    By decoupling each element of the data filtering process, we unlock the potential to recombine these elements in novel and innovative ways. Within the Intuition framework, these combinations are known as “Reality Tunnels.” A Reality Tunnel typically includes a mix of literal interpretations and algorithms, but it can also incorporate other relevant components essential for data filtering, weighting, and sense-making.

    To illustrate, consider the creation of a ‘Trust Graph’ using specific Triple structures. For instance, a Triple might be formatted as ‘[Subject][in trust graph] [Vitalik’s Web3 Trust Graph].’ This Trust Graph could assign different users different weights, explicitly signaled by a particular curator, to facilitate the weighting and filtering of data. When this Trust Graph is combined with an algorithm such as EigenTrust, it can be applied to a relevant context—like a portion of the knowledge graph pertaining to Web3 topics.

    This integrated viewpoint or “lens” is referred to as a Reality Tunnel. The concept of Reality Tunnels also allows users to switch between different perspectives. Imagine engaging in a debate and having the ability to view the data from your opponent’s perspective to understand their reasoning. Currently, most platforms restrict users to a single “reality tunnel,” shaped by their social graph and a specific platform’s algorithm. However, if users could toggle between different social graphs and apply various open-source algorithms, they would gain access to diverse viewpoints and a more comprehensive understanding of the data and the world around them. This flexibility would enrich user experience by providing multiple angles on the same information, fostering better-informed discussions and decisions.

    - - + + \ No newline at end of file diff --git a/fr/13b450d3-7d06-80de-8848-e83f63ba851c/index.html b/fr/13b450d3-7d06-80de-8848-e83f63ba851c/index.html index 2407266b..5bacafd6 100644 --- a/fr/13b450d3-7d06-80de-8848-e83f63ba851c/index.html +++ b/fr/13b450d3-7d06-80de-8848-e83f63ba851c/index.html @@ -4,13 +4,13 @@ Intuition in Practice | Intuition Docs - - + +

    Intuition in Practice

    The introduction of Intuition’s core primitives lays a robust foundation for constructing a system that fosters a trustful interaction layer for the decentralized web. These seemingly basic primitives enable a wide range of powerful functionalities, transforming how we manage identities, data, and trust online.

    To illustrate this, consider, once again, the experience of buying a product on Amazon. With Intuition’s primitives, this process can be reimagined in a decentralized, trustless manner:

    1. Atoms and Triples
      1. Every user, product, review, and transaction can be represented as discrete objects (Atoms) and linked through relationships (Triples). For instance, a Triple could link a product (Atom) to a review (Atom) through a relationship like “hasReview.”
    2. Signal
      1. Each review can be evaluated for credibility using the Signal primitive. Reviews and Signals from verified purchasers or highly reputable users can carry more weight, helping users discern trustworthy feedback from potentially fraudulent reviews.
    3. Fees, Economics, and Incentives
      1. Users are encouraged to express themselves, and reviewers are incentivized to provide honest and detailed feedback. Users earn money for their valuable data contributions, and their reputation becomes cross-contextual, increasing its significance beyond a single platform. For example, a user’s status as a trusted reviewer on Amazon could serve as a valuable reputation data point in other contexts, such as securing better loan-to-value ratios in decentralized finance (DeFi) or enhancing the ability to obtain a loan. This cross-contextual reputation system contrasts with Amazon’s current reviewer reputation, which offers no tangible rewards.
      2. Additionally, users might be more inclined to attest to useful information about products on Amazon because their claims can be easily seen by the people they care about, thanks to portable social and trust graphs. Unlike the current Amazon platform, which lacks a friends list, Intuition allows users to take their singular social graph or a set of trust graphs with them anywhere they go. This portability means that the review of one trusted individual in a specific context could hold more weight than numerous anonymous reviews. The ability to leverage these portable social and trust graphs ensures that valuable insights from trusted sources are prioritized, further enhancing the reliability and utility of the data within the ecosystem.
    4. Interpretations
      1. The listing of a product on a marketplace such as Amazon can be represented as a literal interpretation. For instance, adding a product to a marketplace can be as straightforward as creating a Triple like [Product][listedOn] [Amazon]. Expanding on this concept, various stakeholders can publish their interpretations of product reviews. For example, a company might aggregate all reviews and provide a summary score, while an independent consumer protection group could highlight reviews mentioning safety concerns.
    5. Algorithms
      1. Users can choose from various algorithms to filter and sort reviews based on their preferences. For instance, an algorithm can prioritize reviews from users with similar purchase histories or highlight reviews that mention specific product features.
    6. Reality Tunnel
      1. Users can compose together interpretations and algorithms to create curated ‘views’ of data, allowing them to find the voices they trust among thousands of anonymous voices.
    7. Portable Identity and Data
      1. Identities and data become universal, and can be referenced and integrated anywhere across the web. Users can see a product’s aggregated reviews across Amazon, Facebook Marketplace, Craigslist, or eBay, provided the same canonical identifier for the products is used in each context. And, even if Amazon were to shut down, users’ data and lists of favorites would still exist, ensuring continuity and control over their digital interactions.

    By integrating these primitives into contexts and interactions that cannot yet be fully ‘trustless,’ Intuition establishes a decentralized trust layer. This layer allows users to interact with confidence, knowing that the information they rely on is transparent, verifiable, and free from centralized manipulation. For instance, when buying a product, users can access a wealth of credible reviews, filtered and presented according to their preferences, all while maintaining control over their data and identities. By leveraging these tools, we can build a more trustworthy and user-centric digital ecosystem, addressing many of the inherent flaws in the current Web2 trust stack and paving the way for a more decentralized and equitable internet

    - - + + \ No newline at end of file diff --git a/fr/13d450d3-7d06-805f-8fe7-e4f404436077/index.html b/fr/13d450d3-7d06-805f-8fe7-e4f404436077/index.html index fff417fc..95bc42ac 100644 --- a/fr/13d450d3-7d06-805f-8fe7-e4f404436077/index.html +++ b/fr/13d450d3-7d06-805f-8fe7-e4f404436077/index.html @@ -4,13 +4,13 @@ Getting Started | Intuition Docs - - + +

    Getting Started

    This guide walks through the steps needed to get started interacting with the Intuition contracts in a TypeScript/React setting. The guides following this page will assume that you’ve completed this scaffolding and configuration.

    Contract Addresses

    Intuition is currently deployed on Base Mainnet and Base Sepolia Testnet. You can find the chain information and contract addresses here:

    ChainChain IDContract AddressTypeExplorer
    Base84530x430BbF52503Bd4801E51182f4cB9f8F534225DE5Mainnethttps://basescan.org/
    Base Sepolia845320x1A6950807E33d5bC9975067e6D6b5Ea4cD661665Testnethttps://sepolia.basescan.org/

    Multivault ABI

    In addition to the contract address you’ll need the EthMultivault ABI. The code block is too large to include in these docs, but we recommend the following approach:

    • Create a multivault.ts file in a path such as app/lib/abis
    • Export the ABI as a const array:
    export const multivaultAbi = [
    {...},
    {...},
    ]
    • Note: The actual ABI values are included inside the {...} in the above example.

    You’ll need to export with this structure to work with viem and wagmi and to have type inference and ABI support.

    For a full example you can look at a reference implementation in our monorepo:

    Scaffolding Contract Interactions

    Once you have the contract address and the ABI exported from a .ts file you’re ready to scaffold the contract interactions.

    The following guide focuses on what you need to start interacting with the EthMultivault contract in a TypeScript context.

    useMultivaultContract Hook

    If you’re working in a React app we have a hook that you can use to scaffold your contract interactions. This hook leverages getContract from viem and the usePublicClient from wagmi :

    import { multivaultAbi } from '@lib/abis/multivault'
    import { getContract } from 'viem'
    import { usePublicClient } from 'wagmi'

    export const getMultivaultContractConfig = (contract?: string) => ({
    address:
    (contract as `0x${string}`) ||
    (`0x1A6950807E33d5bC9975067e6D6b5Ea4cD661665` as `0x${string}`),
    abi: multivaultAbi,
    })

    export function useMultivaultContract(contract?: string, chainId?: number) {
    const publicClient = usePublicClient({ chainId })

    if (!publicClient) {
    console.error('No publicClient found.')
    return null
    }

    return getContract({
    ...getMultivaultContractConfig(
    contract ||
    (`0x1A6950807E33d5bC9975067e6D6b5Ea4cD661665` as `0x${string}`),
    ),
    client: {
    public: publicClient,
    },
    })
    }

    Once you’ve created this hook you’re then able to use it in both contract reads and writes. Here’s a snippet showing how you can use the hook:

    import { useMultivaultContract } from './useMultivaultContract'

    export const useCreateAtom = () => {
    const multivault = useMultivaultContract(
    baseSepolia.id
    ) as GetContractReturnType

    return useContractWriteAndWait({
    ...multivault,
    functionName: 'createAtom',
    })
    }

    The specific contract interactions are covered in more detail in each page, such as Create Atom.

    Viem Scaffolding

    We recommend additional viem configuration in addition to the EthMultiVault contract scaffolding.

    Environment Variables

    This guide and reference implementation include references to environment variables that you’ll need to set in your app’s .env. You can rename these to whatever name you prefer, but you’ll need to ensure that the name matches.

    # .env

    ALCHEMY_BASE_SEPOLIA_RPC_URL=
    ALCHEMY_BASE_RPC_URL=

    You can set the contract address into a constant as well, such as:

    MULTIVAULT_CONTRACT_ADDRESS

    We recommend taking this approach for reusability across your app. This example also includes a CURRENT_ENV variable that is set to your deployment environment (such as 'development') to set the proper RPC URL in the Public Client configuration.

    Implementation

    import { multivaultAbi } from '@lib/abis/multivault'
    import {
    CURRENT_ENV,
    MULTIVAULT_CONTRACT_ADDRESS,
    } from 'app/consts'
    import {
    createPublicClient,
    getContract,
    http,
    PublicClient,
    type Abi,
    } from 'viem'
    import { base, baseSepolia } from 'viem/chains'

    export const publicClient: PublicClient = createPublicClient({
    batch: {
    multicall: true,
    },
    chain: CURRENT_ENV === 'development' ? baseSepolia : base,
    transport: http(
    CURRENT_ENV === 'development'
    ? process.env.ALCHEMY_BASE_SEPOLIA_RPC_URL
    : process.env.ALCHEMY_BASE_RPC_URL,
    },
    ),
    }) as PublicClient

    export const getMultivaultContract = getContract({
    address: MULTIVAULT_CONTRACT_ADDRESS as `0x${string}`,
    abi: multivaultAbi as Abi,
    client: {
    public: publicClient,
    },
    })

    export const createMultiVaultContract = (contractAddress: string) =>
    ({
    address: contractAddress as `0x${string}`,
    abi: multivaultAbi as Abi,
    }) as const

    export const multiVaultContract = {
    address: MULTIVAULT_CONTRACT_ADDRESS as `0x${string}`,
    abi: multivaultAbi as Abi,
    } as const

    For a full example you can look at a reference implementation in our monorepo:

    Next Steps

    Once you’ve added this scaffolding and configuration to your application you’ll have what you need to start interacting onchain Intuition primitives. Each contract interaction page guide assumes that you’ll have already completed this scaffolding and have the useMultivaultContract hook set up.

    See also:

    - - + + \ No newline at end of file diff --git a/fr/13d450d3-7d06-8073-99f6-cd3de716ace9/index.html b/fr/13d450d3-7d06-8073-99f6-cd3de716ace9/index.html index ee963e3f..316be44f 100644 --- a/fr/13d450d3-7d06-8073-99f6-cd3de716ace9/index.html +++ b/fr/13d450d3-7d06-8073-99f6-cd3de716ace9/index.html @@ -4,13 +4,13 @@ Attest Atom | Intuition Docs - - + +

    Attest Atom

    Attestations allow users to signal support for Atoms by depositing ETH into their associated vaults. Each deposit represents a stake in the Atom's relevance and validity, with the ability to redeem these stakes later.

    Context

    The depositAtom and redeemAtom functions are part of the EthMultiVault contract, which manages the staking and signaling mechanisms for Atoms. When attesting to an Atom, users deposit ETH into the Atom's vault, receiving shares proportional to their deposit. These shares can later be redeemed to withdraw the original deposit plus any accrued rewards or minus any fees.

    depositAtom

    function depositAtom(
    address receiver,
    uint256 id
    ) external payable nonReentrant whenNotPaused returns (uint256)

    Parameters

    • receiver: Address to receive the vault shares
    • id: Vault ID of the Atom
    • value: Amount of ETH to deposit
    • Returns: uint256 - Amount of shares received

    Implementation

    // useDepositAtom Hook
    import { type GetContractReturnType } from 'viem'
    import { base } from 'viem/chains'

    import { useContractWriteAndWait } from './useContractWriteAndWait'
    import { useMultivaultContract } from './useMultivaultContract'

    export const useDepositAtom = () => {
    const multivault = useMultivaultContract(
    base.id,
    ) as GetContractReturnType

    return useContractWriteAndWait({
    ...multivault,
    functionName: 'depositAtom',
    })
    }
    // Usage Example
    const {
    writeAsync: writeDepositAtom,
    awaitingWalletConfirmation,
    awaitingOnChainConfirmation,
    } = useDepositAtom()

    async function handleDepositAtom(atomId: string, amount: bigint) {
    if (
    !awaitingOnChainConfirmation &&
    !awaitingWalletConfirmation &&
    writeDepositAtom
    ) {
    try {
    const tx = await writeDepositAtom({
    address: MULTIVAULT_CONTRACT_ADDRESS,
    abi: multivaultAbi,
    functionName: 'depositAtom',
    args: [address, BigInt(atomId)],
    value: amount,
    })

    if (tx?.hash) {
    const receipt = await publicClient.waitForTransactionReceipt({
    hash: tx.hash,
    })
    // Handle success
    }
    } catch (error) {
    // Handle error
    }
    }
    }

    redeemAtom

    function redeemAtom(
    uint256 shares,
    address receiver,
    uint256 id
    ) external nonReentrant returns (uint256)

    Parameters

    • shares: Number of vault shares to redeem
    • receiver: Address to receive the redeemed ETH
    • id: Vault ID of the Atom
    • Returns: uint256 - Amount of ETH received

    Implementation

    // useRedeemAtom Hook
    import { type GetContractReturnType } from 'viem'
    import { base } from 'viem/chains'

    import { useContractWriteAndWait } from './useContractWriteAndWait'
    import { useMultivaultContract } from './useMultivaultContract'

    export const useRedeemAtom = () => {
    const multivault = useMultivaultContract(
    base.id,
    ) as GetContractReturnType

    return useContractWriteAndWait({
    ...multivault,
    functionName: 'redeemAtom',
    })
    }

    // Usage Example
    const {
    writeAsync: writeRedeemAtom,
    awaitingWalletConfirmation,
    awaitingOnChainConfirmation,
    } = useRedeemAtom()

    async function handleRedeemAtom(atomId: string, shares: bigint) {
    if (
    !awaitingOnChainConfirmation &&
    !awaitingWalletConfirmation &&
    writeRedeemAtom
    ) {
    try {
    const tx = await writeRedeemAtom({
    address: MULTIVAULT_CONTRACT_ADDRESS,
    abi: multivaultAbi,
    functionName: 'redeemAtom',
    args: [shares, address, BigInt(atomId)],
    })

    if (tx?.hash) {
    const receipt = await publicClient.waitForTransactionReceipt({
    hash: tx.hash,
    })
    // Handle success
    }
    } catch (error) {
    // Handle error
    }
    }
    }

    Cost Considerations

    1. Deposit Fees:
      • Entry fee: Percentage taken from deposit
      • Protocol fee: Portion sent to protocol treasury
      • Gas fees: Network transaction costs
    2. Redemption Fees:
      • Exit fee: Percentage taken from withdrawal
      • Protocol fee: Portion sent to protocol treasury

    See also:

    - - + + \ No newline at end of file diff --git a/fr/13d450d3-7d06-808a-b789-d45f3bc4de6e/index.html b/fr/13d450d3-7d06-808a-b789-d45f3bc4de6e/index.html index 4cbcd228..2e19ba0b 100644 --- a/fr/13d450d3-7d06-808a-b789-d45f3bc4de6e/index.html +++ b/fr/13d450d3-7d06-808a-b789-d45f3bc4de6e/index.html @@ -4,13 +4,13 @@ Create Atom | Intuition Docs - - + +

    Create Atom

    Atoms are the fundamental building blocks in the Intuition system, representing discrete units of data that can be anything from a single concept to a complex entity. Each Atom is assigned a unique decentralized identifier (DID) and includes associated metadata, a wallet, and a vault.

    Context

    The createAtom and batchCreateAtom functions are part of the EthMultiVault contract, which manages the creation and management of Atoms and their associated vaults. When creating Atoms, the metadata is stored off-chain with only a URI reference stored on-chain. This design allows for maximum flexibility - developers can use any URI scheme and storage solution that best fits their needs.

    For convenience, we provide a set of GraphQL mutations that help structure and publish Atom metadata following common schemas and best practices. These mutations will be continuously updated to support more schemas and improve interoperability. See our Off-Chain Metadata Guide for details on using these recommended patterns.

    The following guide will focus solely on the on-chain aspects of creating an Atom using a URI.

    createAtom

    function createAtom(bytes calldata atomUri) external payable returns (uint256)

    Parameters

    • atomUri : The URI point to the Atom’s metadata (typically stored off-chain)
    • value : Initial deposit into the Atom’s multivault. Must be ≥ to the atom creation cost.
    • Returns: uint256 - Created atom vault ID

    Implementation

    // useCreateAtom Hook
    import { type GetContractReturnType } from 'viem'
    import { base } from 'viem/chains'
    import { useContractWriteAndWait } from './useContractWriteAndWait'
    import { useMultivaultContract } from './useMultivaultContract'

    export const useCreateAtom = () => {
    const multivault = useMultivaultContract(
    baseSepolia.id
    ) as GetContractReturnType

    return useContractWriteAndWait({
    ...multivault,
    functionName: 'createAtom',
    })
    }
    // Usage Example
    const {
    writeAsync: writeCreateAtom,
    awaitingWalletConfirmation,
    awaitingOnChainConfirmation,
    } = useCreateAtom()

    async function handleCreateAtom(atomData: string) {
    if (!awaitingOnChainConfirmation && !awaitingWalletConfirmation && writeCreateAtom) {
    try {
    const tx = await writeCreateAtom({
    address: MULTIVAULT_CONTRACT_ADDRESS,
    abi: multivaultAbi,
    functionName: 'createAtom',
    args: [toHex(atomData)],
    value: atomCost, // Must be >= minimum creation cost
    })

    if (tx?.hash) {
    const receipt = await publicClient.waitForTransactionReceipt({
    hash: tx.hash,
    })
    // Handle success
    }
    } catch (error) {
    // Handle error
    }
    }
    }

    createBatchAtom

    function createAtomBatch(bytes[] calldata atomUris) external payable nonReentrant whenNotPaused returns (uint256[] memory)

    Parameters

    • atomUris : The URIs point to the Atoms’ metadata (typically stored off-chain)
    • value : Initial deposit into the Atom’s multivault. Must be ≥ to the atom creation cost * length of atomUris. This will get distributed evenly across all created atoms.
    • Returns uint256[] - Created atoms’ vault ID(s)

    Implementation

    // useBatchCreateAtom Hook
    import { type GetContractReturnType } from 'viem'
    import { base } from 'viem/chains'
    import { useContractWriteAndWait } from './useContractWriteAndWait'
    import { useMultivaultContract } from './useMultivaultContract'

    export const useBatchCreateAtom = () => {
    const multivault = useMultivaultContract(
    base.id
    ) as GetContractReturnType

    return useContractWriteAndWait({
    ...multivault,
    functionName: 'createAtomBatch',
    })
    }
    // Usage Example
    const {
    writeAsync: writeBatchCreateAtom,
    awaitingWalletConfirmation,
    awaitingOnChainConfirmation,
    } = useBatchCreateAtom()

    async function handleBatchCreateAtom(atomUris: string[]) {
    const value = BigInt(atomCost) * BigInt(atomUris.length)

    if (!awaitingOnChainConfirmation && !awaitingWalletConfirmation && writeBatchCreateAtom) {
    try {
    const tx = await writeBatchCreateAtom({
    address: MULTIVAULT_CONTRACT_ADDRESS,
    abi: multivaultAbi,
    functionName: 'createAtomBatch',
    args: [atomUris.map(data => toHex(data))],
    value: value, // Must be >= minimum creation cost * number of atoms
    })

    if (tx?.hash) {
    const receipt = await publicClient.waitForTransactionReceipt({
    hash: tx.hash,
    })
    // Handle success
    }
    } catch (error) {
    // Handle error
    }
    }
    }

    Cost Considerations

    1. Creation Cost:
      • Minimum ETH required to create an Atom
      • Retrieved via getAtomCost()
      • Includes protocol fee sent to treasury
      • Must be included in transaction's value parameter
    2. Initial Deposit:
      • Any ETH sent above the creation cost
      • Becomes initial stake in the Atom's vault
      • Subject to entry fees
      • Grants fractional ownership in the vault

    See also:

    - - + + \ No newline at end of file diff --git a/fr/13d450d3-7d06-8093-83f1-d3e6c04ed153/index.html b/fr/13d450d3-7d06-8093-83f1-d3e6c04ed153/index.html index 45489ab6..5b36c267 100644 --- a/fr/13d450d3-7d06-8093-83f1-d3e6c04ed153/index.html +++ b/fr/13d450d3-7d06-8093-83f1-d3e6c04ed153/index.html @@ -4,13 +4,13 @@ Create Triple | Intuition Docs - - + +

    Create Triple

    Triples are higher-order structures in the Intuition system, used to define relationships between Atoms. Each Triple consists of three components - Subject, Predicate, and Object - all represented as Atoms, enabling precise, machine-readable representations of data relationships.

    Context

    The createTriple and batchCreateTriple functions are part of the EthMultiVault contract, which manages the creation and relationships between Atoms through Semantic Triples. When creating Triples, each component must reference existing Atom vault IDs. The Triple structure enables:

    • Many-to-one attestations
    • Positive and negative signaling through triple vaults
    • Flat data structures for optimal scalability

    For example, a Triple might represent:

    • Subject: "Bob" (Atom ID: "1")
    • Predicate: "is" (Atom ID: "2")
    • Object: "Trustworthy" (Atom ID: "3")

    createTriple

    function createTriple(
    uint256 subjectId,
    uint256 predicateId,
    uint256 objectId
    ) external payable nonReentrant whenNotPaused returns (uint256)

    Parameters

    • subjectId: vault ID of the Atom representing the subject
    • predicateId: vault ID of the Atom representing the predicate/relationship
    • objectId: vault ID of the Atom representing the object
    • value : Initial deposit into the Triple’s positive multivault. Must be ≥ to the triple creation cost.
    • Returns: uint256 - Created triple vault ID

    Implementation

    // useCreateTriple Hook
    import { type GetContractReturnType } from 'viem'
    import { base } from 'viem/chains'
    import { useContractWriteAndWait } from './useContractWriteAndWait'
    import { useMultivaultContract } from './useMultivaultContract'

    export const useCreateTriple = () => {
    const multivault = useMultivaultContract(
    base.id
    ) as GetContractReturnType

    return useContractWriteAndWait({
    ...multivault,
    functionName: 'createTriple',
    })
    }
    // Usage Example
    const {
    writeAsync: writeCreateTriple,
    awaitingWalletConfirmation,
    awaitingOnChainConfirmation,
    } = useCreateTriple()

    async function handleCreateTriple(subjectId: string, predicateId: string, objectId: string) {
    if (!awaitingOnChainConfirmation && !awaitingWalletConfirmation && writeCreateTriple) {
    try {
    const tx = await writeCreateTriple({
    address: MULTIVAULT_CONTRACT_ADDRESS,
    abi: multivaultAbi,
    functionName: 'createTriple',
    args: [BigInt(subjectId), BigInt(predicateId), BigInt(objectId)],
    value: tripleCost, // Must be >= minimum creation cost
    })

    if (tx?.hash) {
    const receipt = await publicClient.waitForTransactionReceipt({
    hash: tx.hash,
    })
    // Handle success
    }
    } catch (error) {
    // Handle error
    }
    }
    }

    createBatchTriple

    function createTripleBatch(
    uint256[] calldata subjectIds,
    uint256[] calldata predicateIds,
    uint256[] calldata objectIds
    ) external payable nonReentrant whenNotPaused returns (uint256[] memory)

    Parameters

    • subjectIds: vault ID(s) of the Atom representing the subjects
    • predicateIds: vault ID(s) of the Atom representing the predicate/relationships
    • objectIds: vault ID(s) of the Atom representing the objects
    • value : Initial deposit into the triples’ multivaults. Must be ≥ to the atom creation cost * length of triples. This will get distributed evenly across all created triples.
    • Returns uint256[] - Created triples’ vault ID(s)

    Implementation

    // useBatchCreateTriple Hook
    import { type GetContractReturnType } from 'viem'
    import { base } from 'viem/chains'
    import { useContractWriteAndWait } from './useContractWriteAndWait'
    import { useMultivaultContract } from './useMultivaultContract'

    export const useBatchCreateTriple = () => {
    const multivault = useMultivaultContract(
    base.id
    ) as GetContractReturnType

    return useContractWriteAndWait({
    ...multivault,
    functionName: 'createTripleBatch',
    })
    }
    // Usage Example
    const {
    writeAsync: writeBatchCreateTriple,
    awaitingWalletConfirmation,
    awaitingOnChainConfirmation,
    } = useBatchCreateTriple()

    async function handleBatchCreateTriple(
    subjectIds: string[],
    predicateIds: string[],
    objectIds: string[]
    ) {
    const value = BigInt(tripleValue) * BigInt(subjectIds.length)
    if (!awaitingOnChainConfirmation && !awaitingWalletConfirmation && writeBatchCreateTriple) {
    try {
    const tx = await writeBatchCreateTriple({
    address: MULTIVAULT_CONTRACT_ADDRESS,
    abi: multivaultAbi,
    functionName: 'createTripleBatch',
    args: [
    subjectIds.map(BigInt),
    predicateIds.map(BigInt),
    objectIds.map(BigInt),
    ],
    value: tripleCost * subjectIds.length, // Must be >= minimum creation cost * number of triples
    })

    if (tx?.hash) {
    const receipt = await publicClient.waitForTransactionReceipt({
    hash: tx.hash,
    })
    // Handle success
    }
    } catch (error) {
    // Handle error
    }
    }
    }

    Cost Considerations

    1. Creation Cost:
      • Minimum ETH required to create a Triple
      • Retrieved via getTripleCost()
      • Includes protocol fee sent to treasury
      • Must be included in transaction's value parameter
    2. Initial Deposit:
      • Any ETH sent above the creation cost
      • Deposited into the positive vault
      • Subject to entry fees

    See also:

    - - + + \ No newline at end of file diff --git a/fr/13d450d3-7d06-8093-a0ac-cadbfc67ba65/index.html b/fr/13d450d3-7d06-8093-a0ac-cadbfc67ba65/index.html index dd349ce4..1e8e57a9 100644 --- a/fr/13d450d3-7d06-8093-a0ac-cadbfc67ba65/index.html +++ b/fr/13d450d3-7d06-8093-a0ac-cadbfc67ba65/index.html @@ -4,13 +4,13 @@ Attest Triple | Intuition Docs - - + +

    Attest to Triple

    Attestations in the Intuition system allow users to signal their agreement or disagreement with Triples by depositing ETH into either the positive or negative vault. Each deposit represents a stake in the Triple's validity, with the ability to redeem these stakes later.

    Context

    The depositTriple and redeemTriple functions are part of the EthMultiVault contract, which manages the staking and signaling mechanisms for Triples. When attesting to a Triple, users deposit ETH into either the positive or negative vault, receiving shares proportional to their deposit. These shares can later be redeemed to withdraw the original deposit plus any accrued rewards or minus any losses.

    For example, given the Triple:

    • Subject: "Bob" (Atom ID: "1")
    • Predicate: "is" (Atom ID: "2")
    • Object: "Trustworthy" (Atom ID: "3")

    Users can:

    • Deposit into the positive vault to agree with "Bob is Trustworthy"
    • Deposit into the negative vault to disagree with "Bob is Trustworthy"
    • Not deposit to remain neutral

    depositTriple

    function depositTriple(
    address receiver,
    uint256 id
    ) external payable nonReentrant whenNotPaused returns (uint256)

    Parameters

    • receiver: Address to receive the vault shares
    • id: Vault ID of the Triple (positive or negative vault)
    • value: Amount of ETH to deposit
    • Returns: uint256 - Amount of shares received

    Implementation

    // useDepositTriple Hook
    import { type GetContractReturnType } from 'viem'
    import { base } from 'viem/chains'
    import { useContractWriteAndWait } from './useContractWriteAndWait'
    import { useMultivaultContract } from './useMultivaultContract'

    export const useDepositTriple = () => {
    const multivault = useMultivaultContract(
    base.id
    ) as GetContractReturnType

    return useContractWriteAndWait({
    ...multivault,
    functionName: 'depositTriple',
    })
    }

    // Usage Example
    const {
    writeAsync: writeDepositTriple,
    awaitingWalletConfirmation,
    awaitingOnChainConfirmation,
    } = useDepositTriple()

    async function handleDepositTriple(tripleId: string, amount: bigint, isPositive: boolean) {
    if (!awaitingOnChainConfirmation && !awaitingWalletConfirmation && writeDepositTriple) {
    try {
    // Get the appropriate vault ID based on positive/negative attestation
    const vaultId = isPositive ? tripleId : await getCounterIdFromTriple(tripleId)

    const tx = await writeDepositTriple({
    address: MULTIVAULT_CONTRACT_ADDRESS,
    abi: multivaultAbi,
    functionName: 'depositTriple',
    args: [address, BigInt(vaultId)],
    value: amount,
    })

    if (tx?.hash) {
    const receipt = await publicClient.waitForTransactionReceipt({
    hash: tx.hash,
    })
    // Handle success
    }
    } catch (error) {
    // Handle error
    }
    }
    }

    redeemTriple

    function redeemTriple(
    uint256 shares,
    address receiver,
    uint256 id
    ) external nonReentrant returns (uint256)

    Parameters

    • shares: Number of vault shares to redeem
    • receiver: Address to receive the redeemed ETH
    • id: Vault ID of the Triple (positive or negative vault)
    • Returns: uint256 - Amount of ETH received

    Implementation

    // useRedeemTriple Hook
    import { type GetContractReturnType } from 'viem'
    import { base } from 'viem/chains'
    import { useContractWriteAndWait } from './useContractWriteAndWait'
    import { useMultivaultContract } from './useMultivaultContract'

    export const useRedeemTriple = () => {
    const multivault = useMultivaultContract(
    base.id
    ) as GetContractReturnType

    return useContractWriteAndWait({
    ...multivault,
    functionName: 'redeemTriple',
    })
    }

    // Usage Example
    const {
    writeAsync: writeRedeemTriple,
    awaitingWalletConfirmation,
    awaitingOnChainConfirmation,
    } = useRedeemTriple()

    async function handleRedeemTriple(tripleId: string, shares: bigint, isPositive: boolean) {
    if (!awaitingOnChainConfirmation && !awaitingWalletConfirmation && writeRedeemTriple) {
    try {
    // Get the appropriate vault ID based on positive/negative attestation
    const vaultId = isPositive ? tripleId : await getCounterIdFromTriple(tripleId)

    const tx = await writeRedeemTriple({
    address: MULTIVAULT_CONTRACT_ADDRESS,
    abi: multivaultAbi,
    functionName: 'redeemTriple',
    args: [shares, address, BigInt(vaultId)],
    })

    if (tx?.hash) {
    const receipt = await publicClient.waitForTransactionReceipt({
    hash: tx.hash,
    })
    // Handle success
    }
    } catch (error) {
    // Handle error
    }
    }
    }

    Triple Vaults

    Each Triple has two associated vaults:

    1. Positive Vault:
      • Used for agreeing with the Triple's statement
      • Shares represent support for the claim
      • Value increases with positive attestations
      • ID is the same as the Triple's ID
    2. Negative Vault:
      • Used for disagreeing with the Triple's statement
      • Shares represent opposition to the claim
      • Value increases with negative attestations
      • ID can be retrieved using getCounterIdFromTriple(tripleId)

    Users can only attest to one vault at a time for a given Triple. To switch positions, users must first redeem their shares from one vault before depositing into the other.

    Cost Considerations

    1. Deposit Fees:
      • Entry fee: Percentage taken from deposit
      • Protocol fee: Portion sent to protocol treasury
    2. Redemption Fees:
      • Exit fee: Percentage taken from withdrawal
      • Protocol fee: Portion sent to protocol treasury

    See also:

    - - + + \ No newline at end of file diff --git a/fr/13d450d3-7d06-80ec-ac77-d5c78f376de8/index.html b/fr/13d450d3-7d06-80ec-ac77-d5c78f376de8/index.html index 47649386..c3117fc4 100644 --- a/fr/13d450d3-7d06-80ec-ac77-d5c78f376de8/index.html +++ b/fr/13d450d3-7d06-80ec-ac77-d5c78f376de8/index.html @@ -4,13 +4,13 @@ Retrieve Vault Details | Intuition Docs - - + +

    Retrieve Vault Details

    The Intuition protocol's EthMultiVault contract manages complex state involving Atoms, Triples, and their associated vaults. When interacting with these primitives we recommend retrieving the state data directly from the EthMultiVault contract.

    We utilize multicall operations that batch multiple read-only contract calls into a single request. This approach significantly reduces RPC calls and provides data you’ll need for contract interactions, such as the atomCost that is referenced in the Create Atom guide.

    Implementation

    This implementation guide assumes that you’ve completed the steps in the Contract Interactions: Getting Started guide. Steps for creating the createMultivaultContract and the publicClient referenced in this implementation example can be found in the Contract Interactions: Getting Started guide.

    We recommend creating a multivault.ts that includes the following:


    // createMultiVaultcontract
    const multiVaultContract = createMultiVaultContract(contract)


    // Core multicall configuration
    const coreContractConfigs = [
    {
    ...multiVaultContract,
    functionName: 'vaults',
    args: [vid],
    },
    {
    ...multiVaultContract,
    functionName: 'currentSharePrice',
    args: [vid],
    },
    // ... additional calls
    ]

    // Execute multicall
    const resp: MulticallResponse[] = await publicClient.multicall({
    contracts: coreContractConfigs,
    })

    Here is a full example of the multicall pattern used in the getMultivaultConfig function:

    export async function getMultiVaultConfig(contract: string) {
    const multiVaultContract = createMultiVaultContract(contract)

    const coreContractConfigs = [
    {
    ...multiVaultContract,
    functionName: 'generalConfig',
    args: [],
    },
    {
    ...multiVaultContract,
    functionName: 'vaultFees',
    args: [0],
    },
    {
    ...multiVaultContract,
    functionName: 'atomConfig',
    args: [],
    },
    ]

    const resp: MulticallResponse[] = await publicClient.multicall({
    contracts: coreContractConfigs,
    })

    const admin = resp[0].result[0] as `0x${string}`
    const protocol_vault = resp[0].result[1] as `0x${string}`
    const fee_denominator = resp[0].result[2] as bigint
    const formatted_fee_denominator = formatUnits(fee_denominator, 18)
    const min_deposit = resp[0].result[3] as bigint
    const formatted_min_deposit = formatUnits(min_deposit, 18)
    const min_share = resp[0].result[4] as bigint
    const formatted_min_share = formatUnits(min_share, 18)
    const entry_fee = resp[1].result[0] as bigint
    const formatted_entry_fee = formatUnits(entry_fee, 18)
    const exit_fee = resp[1].result[1] as bigint
    const formatted_exit_fee = formatUnits(exit_fee, 18)
    const protocol_fee = resp[1].result[2] as bigint
    const formatted_protocol_fee = formatUnits(protocol_fee, 18)
    const atom_cost = resp[2].result[0] as bigint
    const formatted_atom_cost = formatUnits(atom_cost, 18)
    const atom_creation_fee = resp[2].result[1] as bigint
    const formatted_atom_creation_fee = formatUnits(atom_creation_fee, 18)

    return {
    admin,
    protocol_vault,
    fee_denominator: fee_denominator.toString(),
    formatted_fee_denominator,
    min_deposit: min_deposit.toString(),
    formatted_min_deposit,
    min_share: min_share.toString(),
    formatted_min_share,
    entry_fee: entry_fee.toString(),
    formatted_entry_fee,
    exit_fee: exit_fee.toString(),
    formatted_exit_fee,
    protocol_fee: protocol_fee.toString(),
    formatted_protocol_fee,
    atom_cost: atom_cost.toString(),
    formatted_atom_cost,
    atom_creation_fee: atom_creation_fee.toString(),
    formatted_atom_creation_fee,
    } as MultivaultConfig
    }

    For a full example of how we implement all of our EthMultiVault multicalls you can look at a reference implementation in our monorepo:

    - [https://github.com/0xIntuition/intuition-ts/blob/main/apps/portal/app/.server/multivault.ts](https://github.com/0xIntuition/intuition-ts/blob/main/apps/portal/app/.server/multivault.ts)

    Key Functions

    We use this multicall pattern to retrieve configuration that we’re able to use throughout the app:

    • getVaultDetails: Retrieves comprehensive vault information including:
      • Total assets and conviction
      • Current share price
      • Fee configurations
      • User-specific positions (when wallet address provided)
      • Counter-vault details (for Triples)
    • getMultiVaultConfig: Retrieves global protocol configuration including:
      • Fee structures
      • Minimum deposits
      • Protocol admin addresses

    Usage Example

    The full getVaultDetails function follows the same pattern used in the getMultiVaultConfig example but is too large to include in the docs. We recommend looking at https://github.com/0xIntuition/intuition-ts/blob/main/apps/portal/app/.server/multivault.ts for a full reference implementation.

    // Fetch vault and countervault details with user positions:
    const vaultDetails = await getVaultDetails(
    MULTIVAULT_CONTRACT_ADDRESS,
    vaultId,
    userWallet,
    counterVaultId
    )

    // Access formatted values such as atom_cost and triple_cost
    console.log({
    atomCost: vaultDetails.atom_cost,
    tripleCost: vaultDetails.triple_cost,
    })

    See also:

    - - + + \ No newline at end of file diff --git a/fr/404.html b/fr/404.html index 5f2e7a37..e852199b 100644 --- a/fr/404.html +++ b/fr/404.html @@ -4,13 +4,13 @@ Page introuvable | Intuition Docs - - + +

    Page introuvable

    Nous n'avons pas trouvé ce que vous recherchez.

    Veuillez contacter le propriétaire du site qui vous a lié à l'URL d'origine et leur faire savoir que leur lien est cassé.

    - - + + \ No newline at end of file diff --git a/fr/FAQ/index.html b/fr/FAQ/index.html index 86b030f8..9a5234ce 100644 --- a/fr/FAQ/index.html +++ b/fr/FAQ/index.html @@ -4,13 +4,13 @@ FAQ | Intuition Docs - - + +

    FAQ

    What is Intuition building?

    We're using decentralized technologies to enhance human interaction, unify the online experience, and redefine how data and value are shared across networks. At Intuition, we believe that the future of the internet is about aligning incentives in a way that benefits users, creators, and platforms alike, ultimately empowering individuals to own their data and make more informed choices online.

    Intuition is building a powerful and versatile ecosystem of apps and developer tooling on top of the world’s first open and semantic social and knowledge graph. This new data layer makes it easy for anyone to capture and curate verifiable social wisdom, free from the limitations of application-specific silos. It aims to enhance the trustworthiness of digital interactions by creating a permissionless and open data environment.

    How does Intuition differ from other identity platforms?

    Intuition is a peer-to-peer knowledge-sharing ecosystem with features to support utility in Web3 and beyond. Core features of the platform include:

    - **Decentralized Identifiers:** Introducing unique, persistent, canonical identifiers for all things—not just people.
    - **Traversable Attestations:** Many-to-one attestations that are uniquely structured to make verifiable data more discoverable and usable.
    - **Data Neutrality Framework:** Open, transparent standards fostering an ecosystem where data and services can interact without barriers or bias, promoting innovation, competition, fairness, and truth.
    - **Incentivized Standards:** Rewards for creating and curating valuable information that others interact with, facilitating engagement and enhancing quality.

    What is 'The Portal' in Intuition?

    The Portal is Intuition’s flagship application, offering seamless access to the social and knowledge graph. Positioned at the application layer, the Portal provides an intuitive interface for users to create, manage, and interact with Identities (Atoms) and Claims (Triples). It serves as the primary gateway for establishing decentralized identities, making claims, and managing your stake, transforming the exploration of the knowledge graph into an accessible and user-friendly experience.

    What is a decentralized identifier (DID) and how is it used in Intuition?

    A DID is a unique identifier assigned to entities like people, organizations, or products. In Intuition, each DID is associated with an Atom, forming the basis for building identities and claims. These DIDs enable secure and verifiable data exchanges without relying on a central authority.

    What are 'Identities' and 'Claims' in the context of Intuition?

    Identities are associated with what Intuition calls ‘Atoms’ and are the fundamental units of knowledge in the Intuition ecosystem, representing individual entities or entire concepts. Claims are associated with what Intuition calls ‘Triples’, which are combinations of three Atoms into a semantic structure (Subject, Predicate, Object). Triples allow expression of relationships between entities and are designed to enable complex data interactions and assertions.

    For user facing applications like The Portal, the terms ‘Identity’ and ‘Claim’ are used in place of the more technical ‘Atom’ and ‘Triple’ nomenclature used by the broader platform to define the foundational building blocks of the Intuition knowledge graph.

    How does staking work on Intuition?

    Staking allows users to express their conviction in an Identity or Claim by depositing ETH. When you stake on an Identity or Claim, you are signaling its importance or accuracy. Staking can earn you shares of the fees generated by that entity, making it a way to support and profit from valuable data.

    What role do economic incentives play on the platform?

    Incentives play a massive role in determining the ultimate utility of the Intuition knowledge graph. Since economic weight serves as the basis for the validity of claims, the protocol is designed around incentivizing users to signal their conviction in claims and identities by staking on them and doing so early.

    User earn rewards for creating and interacting with data within the Intuition system and incentives are designed around encouraging early and meaningful contributions. This model helps in building consensus and promoting data quality. Intuition’s market-driven consensus model also drives incentivizes the adoption of standardized data formats and identifiers.

    What is the purpose of attestations on Intuition?

    Attestations are cryptographic signatures that express a user's stance on a particular Claim or Identity. In the Intuition ecosystem users can attest to Identities and Claims. The implication is slightly different for each. At the core of the interaction is the ability for users to state what they believe, and to place ETH behind this statement.

    Intuition’s novel primitives allow for many-to-one attestations, where users signal their agreeance by depositing on a single instance of each claim. Signals are the equivalent of attestations in the Intuition system. Users hold positions on Atoms and Triples, signaling their stance by increasing their balance on the relevant entities. This approach enables nuanced expression of trust and belief, allowing for a dynamic and tiered system of preferences within the decentralized ecosystem.

    How can developers use Intuition in their applications?

    Intuition offers APIs and SDKs that developers can use to integrate its data structures into their applications. This allows apps to leverage decentralized data, replace traditional likes or endorsements with attestations, and benefit from a shared, interoperable knowledge graph. Developers can create applications that enhance user privacy, security, and control over data.

    How does Intuition ensure data privacy and security?

    The platform uses robust cryptographic techniques to ensure data integrity and user privacy. Information within Intuition can be verified by all parties involved without exposing sensitive data. This transparency, combined with user-controlled identities and data, provides a secure environment for digital interactions.

    What are Token Curated Registries (TCRs) and how are they used in Intuition?

    TCRs in Intuition are lists where entries are curated based on user stakes. Users stake tokens on Identities or Claims, determining their relevance and importance. This approach ensures that the most trusted and widely accepted data rises to prominence, enabling users to navigate and interact with high-quality information.

    What is meant by 'trustful interactions' on Intuition?

    Trustful interactions refer to digital exchanges where users can rely on the integrity of the system and the data within it. Intuition’s infrastructure allows for interactions that are verifiable, transparent, and secure, fostering confidence in the accuracy of data and the authenticity of participants.

    Can Intuition handle both objective and subjective data?

    Yes, Intuition is designed to handle both objective facts and subjective opinions. Through its semantic data structures and decentralized attestations, the platform allows users to express verifiable truths as well as opinions, creating a comprehensive data layer that reflects various perspectives.

    How does Intuition capture value?

    Intuition captures value through a system of fees associated with user interactions on the platform. Similar to gas fees in other blockchain systems, users pay small fees for actions like creating or endorsing identities and claims. These fees serve two main purposes:

    - **Gaining Ownership:** Users earn partial ownership of data they interact with. The earlier a user contributes, the more they can gain as others continue to use and reference the data.
    - **Rewarding Prior Contributors:** A portion of fees is distributed to users who contributed to the data earlier, encouraging early and meaningful participation in the ecosystem.

    Is the Intuition project open source?

    Intuition’s vision is centered on giving developers access to verifiable social wisdom and providing open-source tooling to explore new use cases. While parts of the platform, such as the API and SDK, are made available for community contributions and use, Intuition retains its own proprietary implementations. This approach balances the need for open access with the ability to maintain unique, internal developments.

    How does Intuition support interoperability in the Web3 ecosystem?

    Intuition’s data structure is chain-agnostic and permissionless, meaning it can integrate with various blockchains and Web3 applications. This open approach allows data and services to interact seamlessly across different platforms, reducing silos and fostering innovation in the decentralized space.

    What benefits does Intuition provide to early adopters?

    Early adopters who interact with new data and create valuable information on the platform earn more rewards as their contributions gain traction. This system incentivizes users to participate early and actively, allowing them to benefit from the growth of data they help to establish.

    Who can benefit from using Intuition?

    Intuition is ideal for developers, organizations, and individuals looking to leverage decentralized data and identity solutions. It is particularly useful for those seeking to create verifiable claims, manage digital identities, or integrate decentralized trust mechanisms into their applications.

    What are the next steps for new users on Intuition?

    New users can start by creating an Identity (Atom) on The Portal, making claims, or exploring existing data on the platform. A Quick Start Guide is available to walk users through creating and managing Identities, making claims, and participating in the staking process.

    - - + + \ No newline at end of file diff --git a/fr/architecture/index.html b/fr/architecture/index.html index a39aa1c2..f12b37df 100644 --- a/fr/architecture/index.html +++ b/fr/architecture/index.html @@ -4,13 +4,13 @@ Architecture | Intuition Docs - - + +
    -

    The Intuition System

    Intuition is an ecosystem of technologies composing a universal and permissionless knowledge graph, capable of handling both objective facts and subjective opinions. Intuition’s vertically integrated knowledge stack offers a comprehensive suite of developer tooling to streamline the development of the next generation of technologies powered by humanity’s collective intuition.

    Intuition’s open social knowledge graph is built to harness collective wisdom in a structured, permissionless, and fully decentralized manner. The system’s resulting state is open and accessible to everyone, enabling limitless use cases and expanding the information available about the countless entities we engage with daily—whether it’s a pseudonym, a smart contract, an organization, or a piece of content. This approach empowers users with a richer understanding of the ecosystem and facilitates more informed interactions.

    State of the Graph

    The Intuition system leverages a combination of on and off chain interactions to create, store, and manage data within the Intuition knowledge graph in the following ways:

    On-Chain

    • Atom creation and the instantiation of their associated Smart Contract Wallets. Atoms may link to any arbitrary data via their atomURI, allowing any data across the web to be captured in the Intuition System.
    • Triple creation and the instantiation of the associated Vaults for Attestations "For" and Attestations "Against", allowing for the creation of semantic relationships between Atoms to express arbitrarily-complex statements.
    • Signal creation, allowing users to express themselves using Atoms and Triples.
    • The unified system state - which can be likened to the nodes, edges, and weights of the knowledge graph.

    ˍ

    Off-Chain

    • All rich/heavy metadata pertaining to Atoms and Triples is stored off-chain, such as pictures, long-form descriptions, and references.
    • All system data is aggregated off-chain via our infrastructure and services, to enable easy querying

    Analogy

    NFTs are a common example of where you blend on and off-chain components to gain the benefits of on-chain ownership, immutability with off-chain rich metadata and flexibility.

    While the contract mints the ERC-721 and is stored as token on-chain with transfers and ownership records, the detailed metadata is stored off-chain.

    Foundation


    The Trust Protocol

    The Intuition protocol provides the infrastructure for a new information economy, using cryptoeconomic incentives to promote the expression of high-quality, semantic data. Specifically, the protocol is designed to promote:

    1. the creation of useful data
    2. convergence on universal canonical identifiers for all things
    3. convergence on data standards, schemas, and formats

    By rewarding users for contributing useful data and fostering consensus on canonical identifiers and shared data standards, the Intuition protocol creates a unified framework where data can be transparently sourced, verified, and enriched.

    Intuition’s infrastructure also facilitates the creation of decentralized identity and reputation data via peer-to-peer attestations about any subject and its decentralized identifier (DID). If someone endorses you as trustworthy, that metadata will no longer be associated with just the LinkedIn you, or the Twitter you. Instead of being stuck within a given platform, the knowledge tied to DIDs can be leveraged and contributed to by any application.

    The Intuition Protocol is designed to be completely unopinionated, allowing anyone to make attestations about anything. This approach encourages the creation of valuable data and makes navigating the resulting information straightforward. Users can search for a specific person or smart contract to view associated claims or use a set of tags to identify entities matching particular criteria. Rather than making judgments about the validity of claims, Intuition enables the principle of ‘anyone can say anything about anything,’ and provides robust tools to explore, analyze, and filter what has been said.

    Services


    Indexing

    The Indexing layer of Intuition seamlessly integrates both on-chain and off-chain data into a unified, semantic knowledge graph. This structured framework provides developers with access to a rich, context-aware dataset that transcends traditional data silos, allowing for a web-wide view that enhances the depth and precision of applications built on the protocol. By indexing data from smart contracts, decentralized storage solutions, and even traditional web data sources, Intuition creates a comprehensive ecosystem where relationships between entities are clearly defined and easily navigable.

    With powerful indexing capability, applications gain enhanced reliability and flexibility, supporting use cases such as advanced DeFi analytics, verifiable reputation systems, and cross-platform identity solutions. This comprehensive approach not only simplifies data retrieval but also empowers developers to build more innovative applications that make full use of the Web3 ecosystem.

    Data Access

    Intuition’s Trust Graph is designed for maximum accessibility and usability by applications. The Data Access layer allows developers to stream real-time data from the knowledge graph to the database best suited for their use case. The knowledge graph can also be queried directly, empowering developers to build responsive, data-driven applications and ensures that queries can be executed with high efficiency, enabling applications to surface insights that would otherwise remain hidden. Developers can benefit from features like real-time data updates and semantic tagging, which facilitate deeper analysis and improved decision-making.

    Modules


    App Development

    Modules are any application integrated with Intuition. While our vision involves every app across the web being integrated, we are focusing on building a few applications ourselves to bootstrap the ecosystem by seeding utility of the knowledge graph.

    Intuition’s initial flagship application, The Portal, allows users to create, navigate, aggregate, and curate attestations regarding people and things within the web3 ecosystem, a space where qualitative reputation and identity data is acutely lacking. Leveraging users’ social graphs (i.e., the people and organizations they “follow”) and distributed trust algorithms (e.g., EigenTrust), the application will be able to prioritize the display of relevant activity and tailor attestation weighting.

    Other in-house applications include a Browser Extension, MetaMask Snap, Mobile App, and Data Populator - each serving its own unique function in demonstrating the power of the Intuition System.

    Intuition’s initial application allows users to create and navigate attestations regarding people and things within the web3 ecosystem, a space where qualitative reputation and identity data is acutely lacking. Leveraging users’ social graphs (i.e., the people and organizations they “follow”) and distributed trust algorithms (e.g., EigenTrust), the application will be able to prioritize the display of relevant activity and tailor attestation weighting. In-house applications are built with composability and re-usability in mind and aim to make it as easy as possible for others to also build on top of Intuition through the open-sourcing of our front-end libraries.

    SDK

    Intuition offers templates, component libraries, and pre-built integrations to significantly reduce development complexity. Removing much of the integration work allows developers to focus on innovating, achieve faster deployments, and ensure a high-quality user experience.

    Intuition’s SDK empowers developers to seamlessly integrate attestations into their existing features, enhancing the visibility, utility, and incentives of the data they already generate. For example, a “thumbs up” for a Web3 app on a product hunt site or a “like” on social platform content can exist on Intuition’s open graph instead of being locked within app-specific silos. This data can then be easily queried and displayed across applications, enriching the user experience.

    Development efforts in the future will focus on building out and enhancing the SDK to support evolving developer needs and new use cases.

    - - +

    The Intuition System

    Intuition is an ecosystem of technologies composing a universal and permissionless knowledge graph, capable of handling both objective facts and subjective opinions. Intuition’s vertically integrated knowledge stack offers a comprehensive suite of developer tooling to streamline the development of the next generation of technologies powered by humanity’s collective intuition.

    Intuition’s open social knowledge graph is built to harness collective wisdom in a structured, permissionless, and fully decentralized manner. The system’s resulting state is open and accessible to everyone, enabling limitless use cases and expanding the information available about the countless entities we engage with daily—whether it’s a pseudonym, a smart contract, an organization, or a piece of content. This approach empowers users with a richer understanding of the ecosystem and facilitates more informed interactions.

    State of the Graph

    The Intuition system leverages a combination of on and off chain interactions to create, store, and manage data within the Intuition knowledge graph in the following ways:

    On-Chain

    • Atom creation and the instantiation of their associated Smart Contract Wallets. Atoms may link to any arbitrary data via their atomURI, allowing any data across the web to be captured in the Intuition System.
    • Triple creation and the instantiation of the associated Vaults for Attestations "For" and Attestations "Against", allowing for the creation of semantic relationships between Atoms to express arbitrarily-complex statements.
    • Signal creation, allowing users to express themselves using Atoms and Triples.
    • The unified system state - which can be likened to the nodes, edges, and weights of the knowledge graph.

    ˍ

    Off-Chain

    • All rich/heavy metadata pertaining to Atoms and Triples is stored off-chain, such as pictures, long-form descriptions, and references.
    • All system data is aggregated off-chain via our infrastructure and services, to enable easy querying

    Analogy

    NFTs are a common example of where you blend on and off-chain components to gain the benefits of on-chain ownership, immutability with off-chain rich metadata and flexibility.

    While the contract mints the ERC-721 and is stored as token on-chain with transfers and ownership records, the detailed metadata is stored off-chain.

    Foundation


    The Trust Protocol

    The Intuition protocol provides the infrastructure for a new information economy, using cryptoeconomic incentives to promote the expression of high-quality, semantic data. Specifically, the protocol is designed to promote:

    1. the creation of useful data
    2. convergence on universal canonical identifiers for all things
    3. convergence on data standards, schemas, and formats

    By rewarding users for contributing useful data and fostering consensus on canonical identifiers and shared data standards, the Intuition protocol creates a unified framework where data can be transparently sourced, verified, and enriched.

    Intuition’s infrastructure also facilitates the creation of decentralized identity and reputation data via peer-to-peer attestations about any subject and its decentralized identifier (DID). If someone endorses you as trustworthy, that metadata will no longer be associated with just the LinkedIn you, or the Twitter you. Instead of being stuck within a given platform, the knowledge tied to DIDs can be leveraged and contributed to by any application.

    The Intuition Protocol is designed to be completely unopinionated, allowing anyone to make attestations about anything. This approach encourages the creation of valuable data and makes navigating the resulting information straightforward. Users can search for a specific person or smart contract to view associated claims or use a set of tags to identify entities matching particular criteria. Rather than making judgments about the validity of claims, Intuition enables the principle of ‘anyone can say anything about anything,’ and provides robust tools to explore, analyze, and filter what has been said.

    Services


    Indexing

    The Indexing layer of Intuition seamlessly integrates both on-chain and off-chain data into a unified, semantic knowledge graph. This structured framework provides developers with access to a rich, context-aware dataset that transcends traditional data silos, allowing for a web-wide view that enhances the depth and precision of applications built on the protocol. By indexing data from smart contracts, decentralized storage solutions, and even traditional web data sources, Intuition creates a comprehensive ecosystem where relationships between entities are clearly defined and easily navigable.

    With powerful indexing capability, applications gain enhanced reliability and flexibility, supporting use cases such as advanced DeFi analytics, verifiable reputation systems, and cross-platform identity solutions. This comprehensive approach not only simplifies data retrieval but also empowers developers to build more innovative applications that make full use of the Web3 ecosystem.

    Data Access

    Intuition’s Trust Graph is designed for maximum accessibility and usability by applications. The Data Access layer allows developers to stream real-time data from the knowledge graph to the database best suited for their use case. The knowledge graph can also be queried directly, empowering developers to build responsive, data-driven applications and ensures that queries can be executed with high efficiency, enabling applications to surface insights that would otherwise remain hidden. Developers can benefit from features like real-time data updates and semantic tagging, which facilitate deeper analysis and improved decision-making.

    Modules


    App Development

    Modules are any application integrated with Intuition. While our vision involves every app across the web being integrated, we are focusing on building a few applications ourselves to bootstrap the ecosystem by seeding utility of the knowledge graph.

    Intuition’s initial flagship application, The Portal, allows users to create, navigate, aggregate, and curate attestations regarding people and things within the web3 ecosystem, a space where qualitative reputation and identity data is acutely lacking. Leveraging users’ social graphs (i.e., the people and organizations they “follow”) and distributed trust algorithms (e.g., EigenTrust), the application will be able to prioritize the display of relevant activity and tailor attestation weighting.

    Other in-house applications include a Browser Extension, MetaMask Snap, Mobile App, and Data Populator - each serving its own unique function in demonstrating the power of the Intuition System.

    Intuition’s initial application allows users to create and navigate attestations regarding people and things within the web3 ecosystem, a space where qualitative reputation and identity data is acutely lacking. Leveraging users’ social graphs (i.e., the people and organizations they “follow”) and distributed trust algorithms (e.g., EigenTrust), the application will be able to prioritize the display of relevant activity and tailor attestation weighting. In-house applications are built with composability and re-usability in mind and aim to make it as easy as possible for others to also build on top of Intuition through the open-sourcing of our front-end libraries.

    SDK

    Intuition offers templates, component libraries, and pre-built integrations to significantly reduce development complexity. Removing much of the integration work allows developers to focus on innovating, achieve faster deployments, and ensure a high-quality user experience.

    Intuition’s SDK empowers developers to seamlessly integrate attestations into their existing features, enhancing the visibility, utility, and incentives of the data they already generate. For example, a “thumbs up” for a Web3 app on a product hunt site or a “like” on social platform content can exist on Intuition’s open graph instead of being locked within app-specific silos. This data can then be easily queried and displayed across applications, enriching the user experience.

    Development efforts in the future will focus on building out and enhancing the SDK to support evolving developer needs and new use cases.

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"),(0,a.kt)("admonition",{type:"note"},(0,a.kt)("p",{parentName:"admonition"},"Intuition introduces three new primitives: "),(0,a.kt)("ol",{parentName:"admonition"},(0,a.kt)("li",{parentName:"ol"},(0,a.kt)("p",{parentName:"li"},(0,a.kt)("strong",{parentName:"p"},"Atoms"),": Intuition\u2019s atomic unit of knowledge, enabling\xa0unique, persistent, canonical identifiers for all things - not just people.")),(0,a.kt)("li",{parentName:"ol"},(0,a.kt)("p",{parentName:"li"},(0,a.kt)("strong",{parentName:"p"},"Triples:")," A composition of Atoms - defined as ",(0,a.kt)("a",{parentName:"p",href:"https://en.wikipedia.org/wiki/Semantic_triple"},"Semantic Triples")," which represent the relationships between Atoms")),(0,a.kt)("li",{parentName:"ol"},(0,a.kt)("p",{parentName:"li"},(0,a.kt)("strong",{parentName:"p"},"Signal:")," The weight of Atoms and Triples, derived from the total amount of ETH deposited in Atom and Triple Vaults")))),(0,a.kt)("h1",{id:"104450d37d06808690f1e8c63a4797d2"},"Atoms"),(0,a.kt)("hr",null),(0,a.kt)("p",null,"Atoms are the most basic units of knowledge within Intuition, functioning as unique, globally persistent, decentralized identifiers for all things\u2014people, concepts, products, and more. Each Atom serves as a building block for more complex data structure and facilitates the deterministic and semantic organization of information within the knowledge graph. "),(0,a.kt)("h2",{id:"f28fe0b2387e466d80a9fc06cf6c7dec"},"Understanding Atoms"),(0,a.kt)("p",null,"The digital universe is vast, where everything from tangible objects to abstract concepts can be endowed with a digital identity. Atoms confer unique recognition and definition to persons, places, ideas, or even memes, ensuring each entity's distinct presence. 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This process is a first step toward contributing to our collective mission: building a collaborative knowledge graph demonstrating the connections and relationships among all entities"),(0,a.kt)("p",null,(0,a.kt)("img",{src:n(7281).Z,width:"2920",height:"1170"})),(0,a.kt)("h2",{id:"104450d37d06808a897bfbe916020bfd"},"Components of an Atom"),(0,a.kt)("ul",null,(0,a.kt)("li",{parentName:"ul"},(0,a.kt)("strong",{parentName:"li"},"Atom Data:")," Describes the concept or entity represented by an Atom, ",(0,a.kt)("strong",{parentName:"li"},"typically stored off-chain")," using decentralized storage solutions like IPFS or Arweave, with a URI pointing to this data stored on-chain."),(0,a.kt)("li",{parentName:"ul"},(0,a.kt)("strong",{parentName:"li"},"Atom Wallet:")," A smart contract wallet associated with each Atom, granting it agency over its identity. This wallet is controlled by a specialized smart contract known as the Atom Warden"),(0,a.kt)("li",{parentName:"ul"},(0,a.kt)("strong",{parentName:"li"},"Atom Vault:")," A mechanism that allows users to deposit tokens into an Atom, signaling its relevance and support within the system. The Total Value Locked (TVL) in an Atom Vault indicates the Atom\u2019s acceptance and importance.")),(0,a.kt)("h1",{id:"104450d37d068002b180c78bd71f45ae"},"Triples"),(0,a.kt)("hr",null),(0,a.kt)("p",null,"Triples are higher-order structures within Intuition, used to define relationships between Atoms. Each Triple consists of three components: a Subject, Predicate, and Object, all of which are Atoms. This structure enables precise, machine-readable representations of data, facilitating complex and interconnected attestations."),(0,a.kt)("p",null,(0,a.kt)("strong",{parentName:"p"},"Triple Structure:")),(0,a.kt)("ul",null,(0,a.kt)("li",{parentName:"ul"},(0,a.kt)("strong",{parentName:"li"},"Subject:")," The entity or concept being described."),(0,a.kt)("li",{parentName:"ul"},(0,a.kt)("strong",{parentName:"li"},"Predicate:")," The relationship or attribute of the subject."),(0,a.kt)("li",{parentName:"ul"},(0,a.kt)("strong",{parentName:"li"},"Object:")," The value or characteristic attributed to the subject.")),(0,a.kt)("p",null,(0,a.kt)("img",{alt:"In this example, each component\u2014Subject, Predicate, and Object\u2014is an Atom, and the Triple expresses a specific relationship between these Atoms",src:n(4032).Z,width:"1779",height:"468"})),(0,a.kt)("admonition",{type:"tip"},(0,a.kt)("p",{parentName:"admonition"},"Triples can be used as Atoms in other Triples, allowing for the expression of arbitrarily complex statements in a standardized format.")),(0,a.kt)("h1",{id:"9b51a829116343718b275483f8d6a349"},"Signal"),(0,a.kt)("hr",null),(0,a.kt)("p",null,"Signal in Intuition refers to any action that expresses intent, belief, or support within the system. Signals can be explicit, such as voting mechanisms or signed attestations, or implicit, inferred from user behavior."),(0,a.kt)("p",null,(0,a.kt)("img",{src:n(2699).Z,width:"3746",height:"1636"})),(0,a.kt)("h2",{id:"e3e8be5b6c464691bbb625bbad907225"},"Signal Mechanisms"),(0,a.kt)("p",null,"Users hold positions on Atoms and Triples, signaling their stance by increasing their balance on the relevant entities. Signals contribute to the nuanced expression of trust and belief, allowing for a dynamic and tiered system of preferences within the decentralized ecosystem."),(0,a.kt)("p",null,"It is important to note that creating an Atom or Triple is distinctly different from taking a position on them. While users have the option to both create and take a position on an Atom/Triple at the time of creation, this Initial Deposit is not required. 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"),(0,a.kt)("admonition",{type:"note"},(0,a.kt)("p",{parentName:"admonition"},"Intuition introduces three new primitives: "),(0,a.kt)("ol",{parentName:"admonition"},(0,a.kt)("li",{parentName:"ol"},(0,a.kt)("p",{parentName:"li"},(0,a.kt)("strong",{parentName:"p"},"Atoms"),": Intuition\u2019s atomic unit of knowledge, enabling\xa0unique, persistent, canonical identifiers for all things - not just people.")),(0,a.kt)("li",{parentName:"ol"},(0,a.kt)("p",{parentName:"li"},(0,a.kt)("strong",{parentName:"p"},"Triples:")," A composition of Atoms - defined as ",(0,a.kt)("a",{parentName:"p",href:"https://en.wikipedia.org/wiki/Semantic_triple"},"Semantic Triples")," which represent the relationships between Atoms")),(0,a.kt)("li",{parentName:"ol"},(0,a.kt)("p",{parentName:"li"},(0,a.kt)("strong",{parentName:"p"},"Signal:")," The weight of Atoms and Triples, derived from the total amount of ETH deposited in Atom and Triple Vaults")))),(0,a.kt)("h1",{id:"104450d37d06808690f1e8c63a4797d2"},"Atoms"),(0,a.kt)("hr",null),(0,a.kt)("p",null,"Atoms are the most basic units of knowledge within Intuition, functioning as unique, globally persistent, decentralized identifiers for all things\u2014people, concepts, products, and more. Each Atom serves as a building block for more complex data structure and facilitates the deterministic and semantic organization of information within the knowledge graph. "),(0,a.kt)("h3",{id:"f28fe0b2387e466d80a9fc06cf6c7dec"},"Understanding Atoms"),(0,a.kt)("p",null,"The digital universe is vast, where everything from tangible objects to abstract concepts can be endowed with a digital identity. Atoms confer unique recognition and definition to persons, places, ideas, or even memes, ensuring each entity's distinct presence. Within Intuition, every Atom is secured by a unique DID (",(0,a.kt)("a",{parentName:"p",href:"https://www.w3.org/TR/did-core/"},"Decentralized Identifier"),") and an Ethereum wallet address, establishing a verifiable foundation."),(0,a.kt)("p",null,"Atoms are categorized into three primary roles within semantic structures: ",(0,a.kt)("strong",{parentName:"p"},"Subjects"),", ",(0,a.kt)("strong",{parentName:"p"},"Predicates"),", and ",(0,a.kt)("strong",{parentName:"p"},"Objects"),". 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This wallet is controlled by a specialized smart contract known as the Atom Warden"),(0,a.kt)("li",{parentName:"ul"},(0,a.kt)("strong",{parentName:"li"},"Atom Vault:")," A mechanism that allows users to deposit tokens into an Atom, signaling its relevance and support within the system. The Total Value Locked (TVL) in an Atom Vault indicates the Atom\u2019s acceptance and importance.")),(0,a.kt)("h1",{id:"143450d37d068088bf8bdc69adabc2a8"},"Triples"),(0,a.kt)("hr",null),(0,a.kt)("p",null,"Triples are higher-order structures within Intuition, used to define relationships between Atoms. Each Triple consists of three components: a Subject, Predicate, and Object, all of which are Atoms. 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This approach ensures that every Atom is uniquely identifiable and can be consistently referenced across the web, maintaining data integrity and meaning regardless of the system or context."),(0,i.kt)("pre",null,(0,i.kt)("code",{parentName:"pre",className:"language-javascript"},'// An example DID\n\ndid:ethr:mainnet:0x3b0bc51ab9de1e5b7b6e34e5b960285805c41736\n\n// An example DID Document\n\n{\n\n "id": "did:ethr:mainnet:0x3b0bc51ab9de1e5b7b6e34e5b960285805c41736",\n\n "verificationMethod": [\n\n {\n\n "id": "did:ethr:mainnet:0x3b0bc51ab9de1e5b7b6e34e5b960285805c41736#controller",\n \n "type": "EcdsaSecp256k1RecoveryMethod2020",\n \n "controller": "did:ethr:mainnet:0x3b0bc51ab9de1e5b7b6e34e5b960285805c41736",\n \n "blockchainAccountId": "eip155:1:0x3b0BC51Ab9De1e5B7B6E34E5b960285805C41736"\n\n }\n\n ],\n\n "authentication": [\n \n "did:ethr:mainnet:0x3b0bc51ab9de1e5b7b6e34e5b960285805c41736#controller"\n \n ],\n \n "assertionMethod": [\n \n "did:ethr:mainnet:0x3b0bc51ab9de1e5b7b6e34e5b960285805c41736#controller"\n \n ],\n\n "@context": [\n\n "https://www.w3.org/ns/did/v1",\n\n "https://w3id.org/security/suites/secp256k1recovery-2020/v2",\n\n "https://w3id.org/security/v3-unstable"\n\n ]\n\n}\n')),(0,i.kt)("p",null,"To ensure reliable referencing of entities, concepts, or data within an Atom, each Atom must include at least minimal corresponding data. This data can be of any type, stored anywhere, and presented in any format. However, using a Verifiable Data Registry and adhering to supported data structures and schemas is recommended. Doing so strengthens the data's usability through guarantees around immutability, availability, liveness, and persistence. The uniqueness of each Atom is enforced by hashing its underlying data, preventing duplicate Atoms for the same piece of data. For mutable data, it is essential to include a timestamp, ensuring that any future references understand exactly what the data represented at the moment of attestation."),(0,i.kt)("p",null,"This approach allows Atoms to segment data into discrete, manageable units that can be easily combined and reused across diverse contexts and applications. By structuring data in this way, Atoms support adaptable and flexible digital systems, ensuring seamless interoperability across platforms. 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Without this contextual data, it would be unclear what each identifier is meant to represent."),(0,i.kt)("li",{parentName:"ul"},(0,i.kt)("strong",{parentName:"li"},"Thirdly"),", these identifiers must have some agent-centric state that is capable of tracking the usage of the identifier across contexts. This enables the community to discern which identifiers are being most frequently used to represent different concepts in different settings.")),(0,i.kt)("p",null,"To solve for these requirements, the concepts of Atoms emerge as the foundation of the Intuition framework, representing the most fundamental units of data. These units can range from a single word to a complex concept, serving as discrete, manageable, and referenceable pieces of information that facilitate seamless data integration and manipulation across the web. 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This approach ensures that every Atom is uniquely identifiable and can be consistently referenced across the web, maintaining data integrity and meaning regardless of the system or context."),(0,i.kt)("pre",null,(0,i.kt)("code",{parentName:"pre",className:"language-javascript"},'// An example DID\n\ndid:ethr:mainnet:0x3b0bc51ab9de1e5b7b6e34e5b960285805c41736\n\n// An example DID Document\n\n{\n\n "id": "did:ethr:mainnet:0x3b0bc51ab9de1e5b7b6e34e5b960285805c41736",\n\n "verificationMethod": [\n\n {\n\n "id": "did:ethr:mainnet:0x3b0bc51ab9de1e5b7b6e34e5b960285805c41736#controller",\n \n "type": "EcdsaSecp256k1RecoveryMethod2020",\n \n "controller": "did:ethr:mainnet:0x3b0bc51ab9de1e5b7b6e34e5b960285805c41736",\n \n "blockchainAccountId": "eip155:1:0x3b0BC51Ab9De1e5B7B6E34E5b960285805C41736"\n\n }\n\n ],\n\n "authentication": [\n \n "did:ethr:mainnet:0x3b0bc51ab9de1e5b7b6e34e5b960285805c41736#controller"\n \n ],\n \n "assertionMethod": [\n \n "did:ethr:mainnet:0x3b0bc51ab9de1e5b7b6e34e5b960285805c41736#controller"\n \n ],\n\n "@context": [\n\n "https://www.w3.org/ns/did/v1",\n\n "https://w3id.org/security/suites/secp256k1recovery-2020/v2",\n\n "https://w3id.org/security/v3-unstable"\n\n ]\n\n}\n')),(0,i.kt)("p",null,"To ensure reliable referencing of entities, concepts, or data within an Atom, each Atom must include at least minimal corresponding data. This data can be of any type, stored anywhere, and presented in any format. However, using a Verifiable Data Registry and adhering to supported data structures and schemas is recommended. Doing so strengthens the data's usability through guarantees around immutability, availability, liveness, and persistence. The uniqueness of each Atom is enforced by hashing its underlying data, preventing duplicate Atoms for the same piece of data. For mutable data, it is essential to include a timestamp, ensuring that any future references understand exactly what the data represented at the moment of attestation."),(0,i.kt)("p",null,"This approach allows Atoms to segment data into discrete, manageable units that can be easily combined and reused across diverse contexts and applications. By structuring data in this way, Atoms support adaptable and flexible digital systems, ensuring seamless interoperability across platforms. 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    2. Rewarding Data Owners: A portion of the fee is distributed to existing owners of the data being interacted with. This incentivizes the creation and maintenance of valuable data, as users receive economic rewards for their contributions to the ecosystem.
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"),(0,a.kt)("admonition",{type:"note"},(0,a.kt)("p",{parentName:"admonition"},"Intuition introduces three new primitives: "),(0,a.kt)("ol",{parentName:"admonition"},(0,a.kt)("li",{parentName:"ol"},(0,a.kt)("p",{parentName:"li"},(0,a.kt)("strong",{parentName:"p"},"Atoms"),": Intuition\u2019s atomic unit of knowledge, enabling\xa0unique, persistent, canonical identifiers for all things - not just people.")),(0,a.kt)("li",{parentName:"ol"},(0,a.kt)("p",{parentName:"li"},(0,a.kt)("strong",{parentName:"p"},"Triples:")," A composition of Atoms - defined as ",(0,a.kt)("a",{parentName:"p",href:"https://en.wikipedia.org/wiki/Semantic_triple"},"Semantic Triples")," which represent the relationships between Atoms")),(0,a.kt)("li",{parentName:"ol"},(0,a.kt)("p",{parentName:"li"},(0,a.kt)("strong",{parentName:"p"},"Signal:")," The weight of Atoms and Triples, derived from the total amount of ETH deposited in Atom and Triple Vaults")))),(0,a.kt)("h1",{id:"104450d37d06808690f1e8c63a4797d2"},"Atoms"),(0,a.kt)("hr",null),(0,a.kt)("p",null,"Atoms are the most basic units of knowledge within Intuition, functioning as unique, globally persistent, decentralized identifiers for all things\u2014people, concepts, products, and more. Each Atom serves as a building block for more complex data structure and facilitates the deterministic and semantic organization of information within the knowledge graph. "),(0,a.kt)("h2",{id:"f28fe0b2387e466d80a9fc06cf6c7dec"},"Understanding Atoms"),(0,a.kt)("p",null,"The digital universe is vast, where everything from tangible objects to abstract concepts can be endowed with a digital identity. Atoms confer unique recognition and definition to persons, places, ideas, or even memes, ensuring each entity's distinct presence. Within Intuition, every Atom is secured by a unique DID (",(0,a.kt)("a",{parentName:"p",href:"https://www.w3.org/TR/did-core/"},"Decentralized Identifier"),") and an Ethereum wallet address, establishing a verifiable foundation."),(0,a.kt)("p",null,"Atoms are categorized into three primary roles within semantic structures: ",(0,a.kt)("strong",{parentName:"p"},"Subjects"),", ",(0,a.kt)("strong",{parentName:"p"},"Predicates"),", and ",(0,a.kt)("strong",{parentName:"p"},"Objects"),". 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This process is a first step toward contributing to our collective mission: building a collaborative knowledge graph demonstrating the connections and relationships among all entities"),(0,a.kt)("p",null,(0,a.kt)("img",{src:n(7281).Z,width:"2920",height:"1170"})),(0,a.kt)("h2",{id:"104450d37d06808a897bfbe916020bfd"},"Components of an Atom"),(0,a.kt)("ul",null,(0,a.kt)("li",{parentName:"ul"},(0,a.kt)("strong",{parentName:"li"},"Atom Data:")," Describes the concept or entity represented by an Atom, ",(0,a.kt)("strong",{parentName:"li"},"typically stored off-chain")," using decentralized storage solutions like IPFS or Arweave, with a URI pointing to this data stored on-chain."),(0,a.kt)("li",{parentName:"ul"},(0,a.kt)("strong",{parentName:"li"},"Atom Wallet:")," A smart contract wallet associated with each Atom, granting it agency over its identity. This wallet is controlled by a specialized smart contract known as the Atom Warden"),(0,a.kt)("li",{parentName:"ul"},(0,a.kt)("strong",{parentName:"li"},"Atom Vault:")," A mechanism that allows users to deposit tokens into an Atom, signaling its relevance and support within the system. The Total Value Locked (TVL) in an Atom Vault indicates the Atom\u2019s acceptance and importance.")),(0,a.kt)("h1",{id:"104450d37d068002b180c78bd71f45ae"},"Triples"),(0,a.kt)("hr",null),(0,a.kt)("p",null,"Triples are higher-order structures within Intuition, used to define relationships between Atoms. Each Triple consists of three components: a Subject, Predicate, and Object, all of which are Atoms. This structure enables precise, machine-readable representations of data, facilitating complex and interconnected attestations."),(0,a.kt)("p",null,(0,a.kt)("strong",{parentName:"p"},"Triple Structure:")),(0,a.kt)("ul",null,(0,a.kt)("li",{parentName:"ul"},(0,a.kt)("strong",{parentName:"li"},"Subject:")," The entity or concept being described."),(0,a.kt)("li",{parentName:"ul"},(0,a.kt)("strong",{parentName:"li"},"Predicate:")," The relationship or attribute of the subject."),(0,a.kt)("li",{parentName:"ul"},(0,a.kt)("strong",{parentName:"li"},"Object:")," The value or characteristic attributed to the subject.")),(0,a.kt)("p",null,(0,a.kt)("img",{alt:"In this example, each component\u2014Subject, Predicate, and Object\u2014is an Atom, and the Triple expresses a specific relationship between these Atoms",src:n(4032).Z,width:"1779",height:"468"})),(0,a.kt)("admonition",{type:"tip"},(0,a.kt)("p",{parentName:"admonition"},"Triples can be used as Atoms in other Triples, allowing for the expression of arbitrarily complex statements in a standardized format.")),(0,a.kt)("h1",{id:"9b51a829116343718b275483f8d6a349"},"Signal"),(0,a.kt)("hr",null),(0,a.kt)("p",null,"Signal in Intuition refers to any action that expresses intent, belief, or support within the system. Signals can be explicit, such as voting mechanisms or signed attestations, or implicit, inferred from user behavior."),(0,a.kt)("p",null,(0,a.kt)("img",{src:n(2699).Z,width:"3746",height:"1636"})),(0,a.kt)("h2",{id:"e3e8be5b6c464691bbb625bbad907225"},"Signal Mechanisms"),(0,a.kt)("p",null,"Users hold positions on Atoms and Triples, signaling their stance by increasing their balance on the relevant entities. Signals contribute to the nuanced expression of trust and belief, allowing for a dynamic and tiered system of preferences within the decentralized ecosystem."),(0,a.kt)("p",null,"It is important to note that creating an Atom or Triple is distinctly different from taking a position on them. While users have the option to both create and take a position on an Atom/Triple at the time of creation, this Initial Deposit is not required. 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"),(0,a.kt)("admonition",{type:"note"},(0,a.kt)("p",{parentName:"admonition"},"Intuition introduces three new primitives: "),(0,a.kt)("ol",{parentName:"admonition"},(0,a.kt)("li",{parentName:"ol"},(0,a.kt)("p",{parentName:"li"},(0,a.kt)("strong",{parentName:"p"},"Atoms"),": Intuition\u2019s atomic unit of knowledge, enabling\xa0unique, persistent, canonical identifiers for all things - not just people.")),(0,a.kt)("li",{parentName:"ol"},(0,a.kt)("p",{parentName:"li"},(0,a.kt)("strong",{parentName:"p"},"Triples:")," A composition of Atoms - defined as ",(0,a.kt)("a",{parentName:"p",href:"https://en.wikipedia.org/wiki/Semantic_triple"},"Semantic Triples")," which represent the relationships between Atoms")),(0,a.kt)("li",{parentName:"ol"},(0,a.kt)("p",{parentName:"li"},(0,a.kt)("strong",{parentName:"p"},"Signal:")," The weight of Atoms and Triples, derived from the total amount of ETH deposited in Atom and Triple Vaults")))),(0,a.kt)("h1",{id:"104450d37d06808690f1e8c63a4797d2"},"Atoms"),(0,a.kt)("hr",null),(0,a.kt)("p",null,"Atoms are the most basic units of knowledge within Intuition, functioning as unique, globally persistent, decentralized identifiers for all things\u2014people, concepts, products, and more. Each Atom serves as a building block for more complex data structure and facilitates the deterministic and semantic organization of information within the knowledge graph. "),(0,a.kt)("h3",{id:"f28fe0b2387e466d80a9fc06cf6c7dec"},"Understanding Atoms"),(0,a.kt)("p",null,"The digital universe is vast, where everything from tangible objects to abstract concepts can be endowed with a digital identity. Atoms confer unique recognition and definition to persons, places, ideas, or even memes, ensuring each entity's distinct presence. 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This wallet is controlled by a specialized smart contract known as the Atom Warden"),(0,a.kt)("li",{parentName:"ul"},(0,a.kt)("strong",{parentName:"li"},"Atom Vault:")," A mechanism that allows users to deposit tokens into an Atom, signaling its relevance and support within the system. The Total Value Locked (TVL) in an Atom Vault indicates the Atom\u2019s acceptance and importance.")),(0,a.kt)("h1",{id:"143450d37d068088bf8bdc69adabc2a8"},"Triples"),(0,a.kt)("hr",null),(0,a.kt)("p",null,"Triples are higher-order structures within Intuition, used to define relationships between Atoms. Each Triple consists of three components: a Subject, Predicate, and Object, all of which are Atoms. 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This approach promotes an organic, incentive-driven structuring of data, contrasting with more rigid and traditional methods such as standards committees, which often struggle to achieve effective standardization."))}p.isMDXComponent=!0},4505:(e,t,r)=>{r.d(t,{Z:()=>n});const n=r.p+"assets/images/136450d3-7d06-80db-b0e4-ce33963cdeb5.13d450d3-7d06-8015-bfce-f1d0aa216739-ca0694420a27a333dc1a4401e9ce56e2.png"},5991:(e,t,r)=>{r.d(t,{Z:()=>n});const n=r.p+"assets/images/136450d3-7d06-80db-b0e4-ce33963cdeb5.13d450d3-7d06-80a7-88c8-e3b5068d3f4e-370547f6d71d8b502b9f2417f02fb361.png"},3782:(e,t,r)=>{r.d(t,{Z:()=>n});const n=r.p+"assets/images/136450d3-7d06-80db-b0e4-ce33963cdeb5.13d450d3-7d06-80d0-abbb-de1e90056c8a-08f1802c78034e95634fd995b824e024.png"}}]); \ No newline at end of file diff --git a/fr/assets/js/ccbe9dd4.5c6b6257.js b/fr/assets/js/ccbe9dd4.a7b5b993.js similarity index 95% rename from fr/assets/js/ccbe9dd4.5c6b6257.js rename to fr/assets/js/ccbe9dd4.a7b5b993.js index 170bfbbd..b3a86b05 100644 --- a/fr/assets/js/ccbe9dd4.5c6b6257.js +++ b/fr/assets/js/ccbe9dd4.a7b5b993.js @@ -1 +1 @@ -"use strict";(self.webpackChunkdocu_notion_sample_site=self.webpackChunkdocu_notion_sample_site||[]).push([[1928],{3905:(e,t,n)=>{n.d(t,{Zo:()=>l,kt:()=>p});var a=n(7294);function i(e,t,n){return t in e?Object.defineProperty(e,t,{value:n,enumerable:!0,configurable:!0,writable:!0}):e[t]=n,e}function r(e,t){var n=Object.keys(e);if(Object.getOwnPropertySymbols){var a=Object.getOwnPropertySymbols(e);t&&(a=a.filter((function(t){return Object.getOwnPropertyDescriptor(e,t).enumerable}))),n.push.apply(n,a)}return n}function s(e){for(var t=1;t=0||(i[n]=e[n]);return i}(e,t);if(Object.getOwnPropertySymbols){var r=Object.getOwnPropertySymbols(e);for(a=0;a=0||Object.prototype.propertyIsEnumerable.call(e,n)&&(i[n]=e[n])}return i}var c=a.createContext({}),d=function(e){var t=a.useContext(c),n=t;return e&&(n="function"==typeof e?e(t):s(s({},t),e)),n},l=function(e){var t=d(e.components);return a.createElement(c.Provider,{value:t},e.children)},u={inlineCode:"code",wrapper:function(e){var t=e.children;return a.createElement(a.Fragment,{},t)}},f=a.forwardRef((function(e,t){var n=e.components,i=e.mdxType,r=e.originalType,c=e.parentName,l=o(e,["components","mdxType","originalType","parentName"]),f=d(n),p=i,m=f["".concat(c,".").concat(p)]||f[p]||u[p]||r;return n?a.createElement(m,s(s({ref:t},l),{},{components:n})):a.createElement(m,s({ref:t},l))}));function p(e,t){var n=arguments,i=t&&t.mdxType;if("string"==typeof e||i){var r=n.length,s=new Array(r);s[0]=f;var o={};for(var c in t)hasOwnProperty.call(t,c)&&(o[c]=t[c]);o.originalType=e,o.mdxType="string"==typeof e?e:i,s[1]=o;for(var d=2;d{n.r(t),n.d(t,{assets:()=>c,contentTitle:()=>s,default:()=>u,frontMatter:()=>r,metadata:()=>o,toc:()=>d});var a=n(7462),i=(n(7294),n(3905));const r={title:"Atoms",sidebar_position:0,slug:"/136450d3-7d06-80f6-8f6c-d7fccdf5d877"},s="Atoms",o={unversionedId:"Core-Concepts/Primitive-Fundamentals/Atoms",id:"Core-Concepts/Primitive-Fundamentals/Atoms",title:"Atoms",description:"13b450d37d06804c9752e53e81251a6a}",source:"@site/docs/Core-Concepts/Primitive-Fundamentals/Atoms.md",sourceDirName:"Core-Concepts/Primitive-Fundamentals",slug:"/136450d3-7d06-80f6-8f6c-d7fccdf5d877",permalink:"/fr/136450d3-7d06-80f6-8f6c-d7fccdf5d877",draft:!1,tags:[],version:"current",sidebarPosition:0,frontMatter:{title:"Atoms",sidebar_position:0,slug:"/136450d3-7d06-80f6-8f6c-d7fccdf5d877"},sidebar:"tutorialSidebar",previous:{title:"Primitives",permalink:"/fr/primitives"},next:{title:"Triples",permalink:"/fr/136450d3-7d06-80db-b0e4-ce33963cdeb5"}},c={},d=[{value:"Atom Ownership and Token Curated Registries",id:"13b450d37d06803185d5c0a843cdf814",level:3}],l={toc:d};function u(e){let{components:t,...r}=e;return(0,i.kt)("wrapper",(0,a.Z)({},l,r,{components:t,mdxType:"MDXLayout"}),(0,i.kt)("h1",{id:"13b450d37d06804c9752e53e81251a6a"},"Atoms"),(0,i.kt)("p",null,"A system facilitating the arrival at social consensus around globally persistent canonical identifiers for all things demands that these identifiers possess a few key attributes."),(0,i.kt)("ul",null,(0,i.kt)("li",{parentName:"ul"},(0,i.kt)("strong",{parentName:"li"},"Firstly,")," these identifiers should be decentralized identifiers, providing unique, secure, and verifiable identification without any reliance on a central authority."),(0,i.kt)("li",{parentName:"ul"},(0,i.kt)("strong",{parentName:"li"},"Secondly,")," these identifiers should have a sufficient amount of associated data to ensure precise referencing of specific entities, concepts, or pieces of information. 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This approach ensures that every Atom is uniquely identifiable and can be consistently referenced across the web, maintaining data integrity and meaning regardless of the system or context."),(0,i.kt)("pre",null,(0,i.kt)("code",{parentName:"pre",className:"language-javascript"},'// An example DID\n\ndid:ethr:mainnet:0x3b0bc51ab9de1e5b7b6e34e5b960285805c41736\n\n// An example DID Document\n\n{\n\n "id": "did:ethr:mainnet:0x3b0bc51ab9de1e5b7b6e34e5b960285805c41736",\n\n "verificationMethod": [\n\n {\n\n "id": "did:ethr:mainnet:0x3b0bc51ab9de1e5b7b6e34e5b960285805c41736#controller",\n \n "type": "EcdsaSecp256k1RecoveryMethod2020",\n \n "controller": "did:ethr:mainnet:0x3b0bc51ab9de1e5b7b6e34e5b960285805c41736",\n \n "blockchainAccountId": "eip155:1:0x3b0BC51Ab9De1e5B7B6E34E5b960285805C41736"\n\n }\n\n ],\n\n "authentication": [\n \n "did:ethr:mainnet:0x3b0bc51ab9de1e5b7b6e34e5b960285805c41736#controller"\n \n ],\n \n "assertionMethod": [\n \n "did:ethr:mainnet:0x3b0bc51ab9de1e5b7b6e34e5b960285805c41736#controller"\n \n ],\n\n "@context": [\n\n "https://www.w3.org/ns/did/v1",\n\n "https://w3id.org/security/suites/secp256k1recovery-2020/v2",\n\n "https://w3id.org/security/v3-unstable"\n\n ]\n\n}\n')),(0,i.kt)("p",null,"To ensure reliable referencing of entities, concepts, or data within an Atom, each Atom must include at least minimal corresponding data. This data can be of any type, stored anywhere, and presented in any format. However, using a Verifiable Data Registry and adhering to supported data structures and schemas is recommended. Doing so strengthens the data's usability through guarantees around immutability, availability, liveness, and persistence. The uniqueness of each Atom is enforced by hashing its underlying data, preventing duplicate Atoms for the same piece of data. For mutable data, it is essential to include a timestamp, ensuring that any future references understand exactly what the data represented at the moment of attestation."),(0,i.kt)("p",null,"This approach allows Atoms to segment data into discrete, manageable units that can be easily combined and reused across diverse contexts and applications. By structuring data in this way, Atoms support adaptable and flexible digital systems, ensuring seamless interoperability across platforms. 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Without this contextual data, it would be unclear what each identifier is meant to represent."),(0,i.kt)("li",{parentName:"ul"},(0,i.kt)("strong",{parentName:"li"},"Thirdly"),", these identifiers must have some agent-centric state that is capable of tracking the usage of the identifier across contexts. This enables the community to discern which identifiers are being most frequently used to represent different concepts in different settings.")),(0,i.kt)("p",null,"To solve for these requirements, the concepts of Atoms emerge as the foundation of the Intuition framework, representing the most fundamental units of data. These units can range from a single word to a complex concept, serving as discrete, manageable, and referenceable pieces of information that facilitate seamless data integration and manipulation across the web. By taking arbitrary data of any size and prescribing it a decentralized identifier, we can:"),(0,i.kt)("ul",null,(0,i.kt)("li",{parentName:"ul"},"Start to reference data universally across the web."),(0,i.kt)("li",{parentName:"ul"},"Grant users equity in data as they signal its relevancy through usage."),(0,i.kt)("li",{parentName:"ul"},"Reward users for signaling the relevancy of data, thereby encouraging active participation and accurate data representation.")),(0,i.kt)("p",null,"Each Atom is made universally referenceable through a decentralized identifier. This approach ensures that every Atom is uniquely identifiable and can be consistently referenced across the web, maintaining data integrity and meaning regardless of the system or context."),(0,i.kt)("pre",null,(0,i.kt)("code",{parentName:"pre",className:"language-javascript"},'// An example DID\n\ndid:ethr:mainnet:0x3b0bc51ab9de1e5b7b6e34e5b960285805c41736\n\n// An example DID Document\n\n{\n\n "id": "did:ethr:mainnet:0x3b0bc51ab9de1e5b7b6e34e5b960285805c41736",\n\n "verificationMethod": [\n\n {\n\n "id": "did:ethr:mainnet:0x3b0bc51ab9de1e5b7b6e34e5b960285805c41736#controller",\n \n "type": "EcdsaSecp256k1RecoveryMethod2020",\n \n "controller": "did:ethr:mainnet:0x3b0bc51ab9de1e5b7b6e34e5b960285805c41736",\n \n "blockchainAccountId": "eip155:1:0x3b0BC51Ab9De1e5B7B6E34E5b960285805C41736"\n\n }\n\n ],\n\n "authentication": [\n \n "did:ethr:mainnet:0x3b0bc51ab9de1e5b7b6e34e5b960285805c41736#controller"\n \n ],\n \n "assertionMethod": [\n \n "did:ethr:mainnet:0x3b0bc51ab9de1e5b7b6e34e5b960285805c41736#controller"\n \n ],\n\n "@context": [\n\n "https://www.w3.org/ns/did/v1",\n\n "https://w3id.org/security/suites/secp256k1recovery-2020/v2",\n\n "https://w3id.org/security/v3-unstable"\n\n ]\n\n}\n')),(0,i.kt)("p",null,"To ensure reliable referencing of entities, concepts, or data within an Atom, each Atom must include at least minimal corresponding data. This data can be of any type, stored anywhere, and presented in any format. However, using a Verifiable Data Registry and adhering to supported data structures and schemas is recommended. Doing so strengthens the data's usability through guarantees around immutability, availability, liveness, and persistence. The uniqueness of each Atom is enforced by hashing its underlying data, preventing duplicate Atoms for the same piece of data. For mutable data, it is essential to include a timestamp, ensuring that any future references understand exactly what the data represented at the moment of attestation."),(0,i.kt)("p",null,"This approach allows Atoms to segment data into discrete, manageable units that can be easily combined and reused across diverse contexts and applications. By structuring data in this way, Atoms support adaptable and flexible digital systems, ensuring seamless interoperability across platforms. 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