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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.
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.
Tavily delivers on its promise of simplified AI web search integration with genuinely useful LLM-optimized output. The comprehensive API suite and excellent documentation make implementation straightforward for most AI agent use cases. The Nebius acquisition introduces uncertainty, but the service remains competitive for teams prioritizing rapid deployment over vendor independence. Recommended for prototyping and early-stage production, with contingency planning advised for enterprise deployments.
Real-time web search API for AI agents and RAG systems
Use Case:
Test this in a production-shaped Tavily pilot before rollout.
Search, extract, crawl, and research endpoints shown in product navigation
Use Case:
Test this in a production-shaped Tavily pilot before rollout.
REST API for web search, content extraction, crawling, site mapping, and deep research
Use Case:
Test this in a production-shaped Tavily pilot before rollout.
Free tier available for new creators
Use Case:
Test this in a production-shaped Tavily pilot before rollout.
Vendor site claims trusted by 1M+ developers
Use Case:
Test this in a production-shaped Tavily pilot before rollout.
$0
Metered — see pricing page
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In 2026, Tavily launched enhanced search depth options with comprehensive mode for thorough research, added domain-specific search categories for news and finance, and improved content extraction quality with better handling of JavaScript-rendered pages.
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Pricing and features change often. If anything on this Tavily page is wrong or missing, tell us and include a link to the source. We review every correction.