Search is how AI agents ground themselves in the web, but reading full pages for every query burns tokens fast. We trained a model that returns the excerpts from each /search result that best answer your query, giving your AI agents highly relevant context from every page. It outperforms processing full pages while using 10x fewer tokens. On SimpleQA, AI agents using Firecrawl /search now score 94.7%, higher than any other provider. It's live today on every /search call.