onChain-agent provides a comprehensive toolset for building self-driving blockchain agents powered by AI. It continuously listens to on-chain events such as token transfers, governance proposals, or price feeds, then uses integrated large language models to interpret data, generate decision plans, and trigger transactions. The framework includes configurable strategy templates for DeFi arbitrage, market making, liquidity provision, and governance voting. It manages private keys securely, ensures risk checks, and logs all activities for auditability. Developers extend functionality via plugin modules supporting custom chains, data oracles, and advanced AI models. Real-time monitoring dashboards and alerts help users track performance.

AI-OnChain-Agent integrates OpenAI GPT models with Web3 protocols to create autonomous blockchain agents. It connects to Ethereum networks via configurable RPC endpoints, uses LangChain for prompt orchestration, and Ethers.js/Hardhat for smart contract interactions. Developers can specify trading or governance strategies through prompt templates, monitor token metrics in real time, sign transactions with private keys, and execute buy/sell or stake/unstake operations. Detailed logs track decisions and on-chain results, and the modular design supports extending to oracles, liquidity management, or automated governance voting across multiple DeFi protocols.

DeepEyes specializes in translating web3 data into actionable insights. By providing comprehensive analytics, it empowers builders, traders, and investors to navigate the complexities of the web3 ecosystem efficiently. The platform features an array of tools for monitoring on-chain data and evaluating project performance. Users can leverage these capabilities to uncover alpha, make well-informed investment decisions, and optimize their web3 strategies.