OracleMInd
OracleMind is a production-ready system that combines multi-agent AI analysis with blockchain oracles to automate the resolution of prediction markets.
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描述
OracleMind: AI-Powered Decentralized Oracle for Prediction Markets
OracleMind solves the critical challenge of automating prediction market resolution by combining multi-agent AI analysis with blockchain verification. Traditional prediction markets rely on manual, centralized resolution which is slow, biased, and doesn't scale. OracleMind automates this process using three independent AI agents that fetch real-time data from NewsAPI, DuckDuckGo, and web scraping as MVP, analyze it using different LLM models, reach consensus through majority voting, and submit cryptographically signed verdicts on-chain.
The system is production-ready with fault tolerance (continues working even when agents fail), comprehensive error handling, and secure cryptographic verification. It works with any yes/no question about real-world events - from financial markets ("Did Tesla stock reach $400?") to sports outcomes ("Will Nigeria win against Morocco?") to regulatory decisions ("Did the SEC approve Bitcoin ETF?").
Built with Solidity smart contracts (deployed on Mantle Sepolia), Python AI agents (LangChain/LangGraph), and Node.js oracle service (Viem), OracleMind demonstrates how off-chain AI computation can be securely integrated with on-chain verification to create trustless, automated prediction markets.
Key Innovation: First multi-agent AI oracle with real-time news integration, achieving 80-98% confidence scores and sub-5-second resolution times, still in MVP.