Search API that returns LLM-ready answers and ranked sources
Tavily is a search API built for LLM applications rather than for people. A single call takes a query, runs a web search, extracts and ranks the content, and returns a short answer together with the source list and cleaned page text. That collapses the usual chain of search, scrape and clean into one request, which is the job most agent and retrieval pipelines actually need. Depth settings trade latency for thoroughness, and a research mode runs several searches and composes a longer answer. It is a commercial API with a free monthly allowance and usage-based pricing above it.
Last updated: 2026-09-20. This site only provides an index; for exact features, pricing, and licensing, see the official website.
ai agents, rag pipelines, research automation and developer search backends
If you're comparing similar products, check the alternatives below, or browse all tools in the AI Search & Knowledge category.
It does the extraction and ranking for you and returns text with the sources, so the code you write is one request instead of a pipeline of search, fetch, parse and clean steps.
Yes, each response carries the URLs it used, which matters because a generated answer without citations cannot be verified and should not be trusted inside an automated workflow.
Charges follow request volume, and deeper research modes cost more per call. Estimate with realistic queries rather than toy prompts before committing an application to it.
Google research notebook that answers using only the sources you upload
Conversational search engine that always shows its sources
AI assistant built into the Brave browser with privacy-first defaults
Visual map of related academic papers built from citation data