Ground models with fresh web context
Retrieve live web data, extract relevant content, and return it structured and chunked for models, so agents reason over facts without hallucinating.
Trusted by 3M+ developers around the world
/the web access layer for agents
Loved by developers, built for enterprises
Handle thousands of web queries in seconds
A production-grade retrieval stack with real-time search, intelligent caching, and indexing keeps latency predictable as traffic grows.
Ship to production with built-in safeguards
Requests pass through security, privacy, and content validation layers that block PII leakage, prompt injection, and malicious sources.
/security
Enterprise-grade security, built in.
/customers
Teams ship on Tavily
How Rox Cut Account Research from a Week to Seconds with Tavily
Before web search, the model would hallucinate library methods it didn't know. I ran into this myself building a Telegram integration; it was confidently wrong. Grounding it with real-time web search fixed that immediately.
Nick Frolov
100%description accuracy, up from 20%
/benchmarks
Web search driven by research
/proof is in the numbers
Trusted in production. Proven at scale.
300M+
99.99% uptime
180 ms
3M+
Billions
Drop-in integration
