CryptoSentinel
CryptoSentinel is an AI-powered crypto research and trading bot that automates project analysis and investment decisions. It combines GitHub repo analysis, smart contract security checks, and token metrics to generate actionable insights and recommendations.
CryptoSentinel
Created At
Winner of
Coinbase Developer Platform - AgentKit Pool Prize
Prize Pool
Project Description
CryptoSentinel is an advanced cryptocurrency research and trading bot that automates project analysis and trading decisions using AI-powered insights. It combines GitHub repository analysis, smart contract security scanning, and token metrics to provide comprehensive investment recommendations.
How it's Made
CryptoSentinel is built as an AI-powered research and trading automation tool that analyzes cryptocurrency projects using multiple data sources, blockchain insights, and social sentiment metrics.
Tech Stack & Architecture The backend is powered by FastAPI, running on Uvicorn for high-performance asynchronous API handling. We use Pydantic for data validation and LangChain with OpenAI’s GPT-4 for natural language processing and contextual analysis. LangGraph orchestrates a directed workflow for step-by-step research execution.
For blockchain interactions, we integrated Web3.py and CDP AgentKit, enabling seamless token analysis and automated trade execution. Data aggregation relies on APIs: GitHub (repo metrics), Etherscan (contract analysis), Twitter (social sentiment), and Tavily (web search).
How Components Fit Together ResearchBot is the core orchestrator, triggering GitHub repo analysis, smart contract scanning, token metrics gathering, and AI-driven investment insights. The custom state handler ensures session-based context tracking, enabling interactive follow-ups. CDP AgentKit integrates LangChain with blockchain trading execution, allowing AI-generated insights to trigger real trades. Hacks & Notable Workarounds LangGraph Workflow: Instead of a monolithic AI call, we designed a modular graph-based research pipeline, ensuring parallel data aggregation. Trading Execution Bridge: We used cdp-langchain to directly connect AI analysis with trade execution logic, a non-trivial integration. Multi-API Synchronization: Managing API rate limits and failures, we implemented fallback mechanisms, ensuring data consistency. By combining AI, blockchain analytics, and trading automation, CryptoSentinel delivers a seamless, research-to-execution pipeline for crypto investors.
