Tavily is a real-time search and web access API for AI agents. A single secure API covers search, extract, crawl, and research, returning relevant content structured and chunked for models so agents reason over current facts instead of guessing. A retrieval stack with caching and indexing keeps latency predictable, with a reported 180 ms p50 on search and a 99.99% uptime SLA. Requests pass through layers that block PII leakage, prompt injection, and malicious sources. The Researcher plan gives 1,000 API credits per month free, and Pay As You Go costs $0.008 per credit.
Developers building agents, retrieval-augmented apps, and research assistants are the core users, and over 3M developers are cited. Product teams at companies such as JetBrains use it to keep coding assistants from inventing library methods, and enterprises choose it for security and an SLA. Students can use the service at no cost. Setup is light: sign up, copy an API key from the dashboard, install the Python or JavaScript SDK, and start making calls.
A sales team can build an agent that researches accounts in seconds rather than a week. A coding assistant can ground answers in fresh documentation, and a market research agent can crawl and extract pages across many sites, then run the research endpoint for a cited report. Drop-in integration works with leading model providers such as OpenAI and Groq, and it is available through Databricks MCP Marketplace and IBM watsonx. Credits reset on the first day of each month, so a prototype can start on the free tier.
