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What does building web search into agents look like in production? This Thursday at 10am PST, we chat with Victoria Plummer from the Hyperagent team about their learnings from shipping web-search-enabled agents into production. You’ll learn: - Which jobs depend on search: what Hyperagent's production usage shows - When your agent should search fast and cheap vs. deep research - New product capabilities that web search can bring to your agent Link to register in the comments!

Introducing Exa 3.0, a step change in search for agents. Exa 3.0 led on every benchmark we tested, from public research evals to coding and GTM intelligence. The gains come from upgrades across our retrieval stack: our largest embedding model, Dynamic Highlights that use 95% fewer tokens than full pages, and billions of new documents covering products, local businesses, flights, sports, and weather. We are also launching Exa Lite at $4 per 1,000 requests for cost-sensitive apps. For higher quality, Exa Auto spends more compute on every query. Together, they set the new Pareto frontier for search. For coding agents, financial research, and AI assistants answering everyday questions, Exa 3.0 is state of the art.

Want to learn how to use agents for market research? Watch Fred Gray, Head of VC Research at Crunchbase and Dan Moroz, Chief Economist at Exa as they share how to use agents for deep research.