Building Smarter Agents with Real Market Data

​Ritual Chain public testnet is live and we're running weekly office hours to help you get the most out of it.

​Each session is open, informal, and focused on real questions from people actively building on testnet. Bring your code, your blockers, or just your curiosity. No slides, no sales pitch — just engineers talking through what's possible on a chain built natively for AI agents.

​This week's theme: how to use Ritual's precompiles to bring live market data into your on-chain agent logic. We'll cover how the HTTP precompile works, how to structure inputs cleanly, how to combine data fetching with inference, and how to make your agent actually respond to real-world conditions rather than static inputs.

​Topics We'll Cover

• ​What Ritual's precompile model is and why it matters for agent architecture.

• ​Using the HTTP precompile to fetch live market data on-chain.

• ​Combining data feeds with LLM inference in a single contract flow.

• ​Structuring agent logic that reacts to real-world conditions.

• ​Common patterns, pitfalls, and what the testnet surface looks like right now

• ​Open Q&A — bring whatever you're building

​Who this is for: smart contract developers, agent builders, and anyone curious about what AI-native onchain compute actually looks like in practice.

​Testnet is the time to experiment, break things, and tell us what's missing. See you there.