DeFi Research Agent: From Data to Alpha

​Most DeFi builders are drowning in data and still making decisions in the dark. The gap between raw onchain information and actionable alpha is not a data problem - it is an infrastructure problem. This workshop shows you how to close it.

​Son Dang, Backend Engineer at Birdeye, walks you through building a production-ready DeFi research agent system from scratch, powered by Birdeye's real-time market data. Birdeye Data is the infrastructure behind teams like Phantom, Raydium, Coinbase, and Bybit, delivering real-time, comprehensive data across tokens, trades, wallets, and markets on Solana and beyond.

​This is a live, hands-on workshop. You will go from raw on-chain data to a working multi-agent research pipeline in one session. Son covers how to wire the Birdeye MCP Server into a multi-agent system, how to build a configurable research pipeline that works with any model, and how to apply the output to real DeFi use cases.

​This is directly relevant to your Colosseum submission if you are building anything in DeFi, trading, AI agents, or analytics. A working data layer is the difference between a demo that impresses judges and a product that impresses users. If your project needs on-chain intelligence to function, this session gives you the fastest path to building it.

​What you will walk away with: a working DeFi research agent connected to live Birdeye data, a clear architecture for multi-agent pipelines you can extend for your own project, and an understanding of how production teams at Phantom and Raydium use on-chain data infrastructure to maintain their edge.

​Come with your laptop. Leave with a working agent.

Can't make it IRL? We gotchu.
Dial-in: meet.google.com/afb-gcqi-ita