
Teams building retrieval for agents get a managed path with predictable cost instead of hand-wiring five services.
“Our goal is to give your agents their own search engine, where they can easily find data to provide better answers for themselves and their humans.”
“We modeled pricing in a way that makes it predictable and scalable: embedding and reranking are free when you use the default models, so no need to worry about predicting token count.”
“It gives coding agents current, cited docs from across the Cloudflare developer ecosystem, so they build on the latest features and fixes instead of stale training data.”
“That replaces the usual fallback (web search then fetching full pages), which is slow, token-heavy, and often lands on the wrong or stale source.”
“Just like Browser Run, it follows robots.txt, identifies itself with an immutable, public user agent, and will respect whatever bot controls a site has in place.”
Checking sign-in…
Loading comments…