Tavily Review 2026

One secure web-access API for AI agents — real-time search, extract, crawl, and research endpoints with 180ms p50 latency and built-in PII / prompt-injection guardrails.

Tavily (tavily.com) is a research-driven web-access layer trusted by 2M+ developers and handling 300M+ monthly requests with a 99.99% uptime SLA. Where a scraping API just returns pages, Tavily is designed to ground LLM reasoning: results come back structured, chunked, and de-duplicated so agents can reason over facts without hallucinating. The API surface has four primitives — search, extract, crawl, and a research endpoint that recently achieved state-of-the-art on DeepResearch Bench and shows leading scores on SimpleQA, GAIA, Leetcode 75, and document-relevance benchmarks. Production requests pass through security, privacy, and content-validation layers that block PII leakage (email, phone, etc.), prompt injection, and malicious sources by default, so you can ship to production without stitching together a separate guardrail stack. The company is joining Nebius, partners with Databricks on the MCP Marketplace, powers real-time AI search inside JetBrains, and is a launch partner on IBM watsonx. Tavily has an official MCP server and drop-in integrations with OpenAI, Anthropic, and Groq, so it slots into agent frameworks like LangChain, LlamaIndex, or Claude Desktop in minutes. The company raised a $25M Series A and is built by researchers focused on retrieval quality — the /search endpoint returns a p50 latency of 180ms, which they call the fastest on the market. Pricing details are on their pricing page (metered credits with a generous free tier); enterprise SLAs and custom rates are available for high-volume teams.