The Oracle Agent SDK enables developers to create AI-powered oracles that can interact with users, process data, and provide verifiable attestations through IXO Protocol networks.

Key Features

AI Integration

LLM-powered conversational agents

Dynamic UI

Reactive component rendering

Verification

Cryptographic proof generation for Oracle interactions

Matrix Integration

Secure data rooms and messaging

Installation

npm install @ixo/oracle-agent-sdk
# or
yarn add @ixo/oracle-agent-sdk

Quick Start

Agent Configuration

Conversation Management

Dynamic UI Components

import { OracleUI } from "@ixo/oracle-agent-sdk/ui";

// Register custom components
OracleUI.register("VerificationCard", VerificationCard);
OracleUI.register("LocationProof", LocationProof);

// Render dynamic content
function DynamicContent({ content }) {
  return (
    <OracleUI.Renderer
      content={content}
      components={{
        VerificationCard,
        LocationProof
      }}
    />
  );
}

Verification Flow

// Create verification session
const session = await agent.createVerification({
  type: "DataVerification",
  subject: "did:ixo:entity/456",
  context: {
    location: spatialContext,
    timestamp: Date.now()
  }
});

// Process data
const result = await session.verify(data, {
  rules: verificationRules,
  evidence: supportingData
});

// Generate proof
const proof = await session.generateProof({
  result,
  method: "Ed25519Signature2020"
});

Hooks and Components

React Hooks

UI Components

import {
  ChatWindow,
  MessageList,
  VerificationCard,
  ProofDisplay
} from "@ixo/oracle-agent-sdk/ui";

function OracleInterface() {
  return (
    <ChatWindow>
      <MessageList />
      <VerificationCard result={verificationResult} />
      <ProofDisplay proof={cryptographicProof} />
    </ChatWindow>
  );
}

Error Handling

400
error

Invalid verification request

401
error

Unauthorized oracle access

409
error

Verification conflict

Best Practices

Follow these guidelines for robust oracle implementation

Security

  • Validate all inputs

  • Implement rate limiting

  • Store sensitive data in encrypted rooms

  • Monitor verification accuracy

Performance

  • Cache verification results

  • Implement retry logic

  • Handle offline scenarios

  • Monitor resource usage

Next Steps

Verification Guide

Implement verification flows

UI Guide

Build dynamic chat interfaces

Integration Guide

Connect with AI Models