Real-time web search, extract, and crawl API for AI agents
Each tool is evaluated against our methodology using public docs, vendor demos, and hands-on testing.
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What is Tavily?
Tavily is a web-access API for AI agents and LLM applications, with real-time search, extract, crawl, and research endpoints through one developer interface. Results come back as structured, LLM-ready chunked data instead of raw HTML, with built-in filters for PII leakage and prompt injection plus checks for low-quality sources. It integrates with OpenAI, Anthropic, and Groq agent stacks, and the company reports 2M+ developers and 300M+ monthly requests.
Our verdict
Tavily fits teams that build AI agents or RAG pipelines and need ready-to-consume web data without writing their own HTML parsing and filtering, backed by a $20M Series A with customers such as MongoDB and AWS. It is a managed, closed-source API rather than a self-hosted or open-source tool, so teams that need to run crawl logic on their own infrastructure will need to look elsewhere.
Categories:
AI extraction tools sit between a raw page and your database: you describe the fields you want, and a model returns structured JSON or LLM-ready markdown without hand-written selectors. They hold up well when page layouts change often, at the cost of per-request model spend and the occasional wrong field.
Open-source API that scrapes and crawls sites into LLM-ready data
Freemium·Jul 2026·AI Extraction
Semantic search API for AI agents, returning structured JSON
Freemium·Jul 2026·AI Extraction
Search, fetch, and research API for AI applications
Freemium·Jul 2026·AI Extraction
How Tavily compares
FirecrawlFirecrawl converts websites into clean, LLM-ready markdown and structured data through a crawl and scrape API built for the same AI-agent and RAG use cases as Tavily.
ExaExa is a neural search API built specifically for AI applications. It competes directly with Tavily's real-time search endpoint for agent and LLM grounding.
LinkupLinkup is a web search API designed to ground LLM and agent responses in real-time information. It overlaps with Tavily's core search functionality.
