AIPaul AI Oracle

Overview

The AIPaul AI Oracle is the decentralized module responsible for securely publishing AI-generated prediction results onto the blockchain. It acts as a trustless bridge between off-chain machine learning computation and on-chain smart contracts, ensuring the verifiability, immutability, and censorship resistance of prediction data.

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System Architecture

The Oracle consists of three major subsystems:

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1. Off-Chain Inference Executor

• Runs AIPaul Prediction Engine instances on decentralized infrastructure (e.g., distributed validators, federated nodes).

• Collects AI inference results and encodes them into a standard, verifiable payload.

Sample Code: Standardized Prediction Result Structure (Python)

import hashlib
import json

prediction_result = {
    'eventId': 12345,
    'predictedOutcome': 2,  # 0: HomeWin, 1: AwayWin, 2: Draw
    'confidenceScore': 87.6,
    'timestamp': 1714114291
}

# Create a hashed record
payload = json.dumps(prediction_result, sort_keys=True).encode()
prediction_hash = hashlib.sha256(payload).hexdigest()

print(f"Prediction Hash: {prediction_hash}")

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2. Blockchain Submission Layer

• Publishes hashed prediction results and metadata onto smart contracts.

• Guarantees timestamp validity and immutability.

Sample Code: Solidity Contract to Store Prediction Payloads

// SPDX-License-Identifier: MIT
pragma solidity ^0.8.0;

contract OracleSubmission {
    struct PredictionPayload {
        uint eventId;
        uint8 predictedOutcome;
        uint256 confidence;
        uint256 timestamp;
        bytes32 hash;
    }

    mapping(uint => PredictionPayload) public submittedPredictions;

    function submitPrediction(
        uint eventId,
        uint8 outcome,
        uint256 confidence,
        uint256 timestamp,
        bytes32 hash
    ) external {
        submittedPredictions[eventId] = PredictionPayload(eventId, outcome, confidence, timestamp, hash);
    }
}

3. Public Verifiability Interface

• Provides APIs and smart contract calls that allow external parties to verify:

  • Prediction existence

  • Prediction timestamp

  • Prediction data consistency with the original off-chain computation

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Core Capabilities

• Decentralized Data Anchoring: No single point of failure or manipulation.

• Immutable Historical Records: Prediction histories remain permanently accessible and tamper-resistant.

• Public and Permissionless Auditing: Anyone can independently validate predictions using the publicly available on-chain data.