
Tavily
Search API for AI agents.
About Tavily
If you've wired an agent to the web before, you probably started with a traditional SERP API like SerpAPI, then wrote your own scraper, cleaner and chunker on top of it. Tavily's pitch is that you shouldn't have to. It calls itself "the web access layer for AI agents," and instead of handing back a list of links for a human to click, tavily.com() returns found sources and relevant chunks already structured for a model's context window. That's the real difference. A classic search API is built around results pages. Tavily is built around what an LLM needs to reason over facts instead of guessing.
The product is split into five endpoints: Search, Extract, Crawl, Map and Research, the last being an agent for in-depth web research. The homepage numbers are big: 300M+ monthly requests, a 99.99% uptime SLA, 180 ms p50 latency on /search and 3M+ developers. There's also a safety layer most raw search APIs don't bother with. Requests pass through validation that blocks PII leakage, prompt injection and malicious sources, and the demo shows a query containing an email address rejected with "PII detected with type: EMAIL." Social proof is solid too. JetBrains' Head of Product says grounding with real-time search stopped their model from hallucinating library methods, Rox says it cut account research from a week to seconds, and Tavily lists partnerships with Databricks (MCP Marketplace) and IBM (WatsonX).
A few caveats before you commit. The benchmark charts (SealQA, SimpleQA Verified, GAIA, DeepResearch Bench) are Tavily's own runs, so treat the "#1" claims as a starting point and test with your own queries. Pricing is credit-based, but the pages you'll see first don't spell out how many credits each endpoint burns. Tavily has also announced it's joining Nebius, which is worth watching if you care about long-term roadmap and terms. Still, the free Researcher plan gives you 1,000 credits a month with no credit card, and students get the service free, so it costs nothing to find out whether it beats your current stack.
Key features
Search endpoint built for LLMs
Search returns sources plus pre-extracted relevant chunks, so you can drop results straight into a prompt instead of scraping and cleaning pages yourself.
Extract, Crawl and Map
Extract pulls clean, structured content from a page, Crawl extracts content from entire websites, and Map discovers URLs across a site so your agent knows what's there before it reads.
Research agent endpoint
The /research endpoint runs an agent for in-depth web research, which Tavily says achieved state-of-the-art results at launch.
Built-in request safeguards
Every request passes through security, privacy and content validation layers that block PII leakage, prompt injection and malicious sources before anything reaches your model.
Production-grade latency and uptime
Tavily advertises a 180 ms p50 on /search, a 99.99% uptime SLA and intelligent caching and indexing to keep latency predictable as traffic grows.
Drop-in LLM provider integration
It's pitched as a drop-in integration with OpenAI, Anthropic and Groq, and it's also listed on the Databricks MCP Marketplace and IBM WatsonX.
Best for
- developers grounding agents in live web data
- teams replacing a homegrown SERP plus scraper pipeline
- coding assistants that hallucinate library APIs
- sales and account research automation
- students and researchers prototyping on a free tier
Skip if
- skip this if you need raw search engine results pages with ads, rankings and SERP features, since Tavily returns processed chunks
- skip this if your agent must query with emails or other personal data, because the PII filter blocks those requests
Pros & cons
Pros
- The free Researcher plan includes 1,000 API credits a month with no credit card required
- Results come back chunked and structured for models, which removes a whole scraping and cleaning layer from your stack
- Built-in blocking of PII, prompt injection and malicious sources is rare among search APIs
- Advertised 180 ms p50 latency and a 99.99% uptime SLA make it credible for production agents
- Free access for students is a genuinely nice touch
Cons
- Benchmark wins (SealQA, GAIA, SimpleQA Verified) are self-run by Tavily, so you'll need your own evals to confirm them
- Below Enterprise, every plan lists email support only
- The PII filter can reject legitimate queries, like the email address lookup shown in Tavily's own demo
Pricing
| Tier | Price | Includes |
|---|---|---|
| Researcher | Free | 1,000 API credits per month, no credit card required, email support |
| Pay As You Go | $0.008 / credit | Pay only for what you use, cancel anytime, email support |
| Project | Monthly, set via slider on pricing page | 4,000 API credits per month at the base level, higher rate limits, email support |
| Enterprise | Custom | Custom API calls and rate limits, enterprise-grade support and SLAs, enterprise-grade security and privacy |
| Students | Free | Free access to the service for students |
Frequently asked questions
Is Tavily free to use?
Yes. The Researcher plan gives you 1,000 API credits per month with no credit card, and Tavily offers its service free to students.
How does Tavily differ from SerpAPI?
SerpAPI returns structured search engine results pages, while Tavily returns sources plus extracted, chunked content meant to go straight into an LLM prompt. If you'd otherwise be writing a scraper on top of SERP results, Tavily saves that step.
Which LLM providers does Tavily work with?
Tavily advertises drop-in integration with OpenAI, Anthropic and Groq. It's also available through the Databricks MCP Marketplace and IBM WatsonX.
How fast is Tavily?
Tavily claims a 180 ms p50 latency on its /search endpoint and says it handles 300M+ requests a month with a 99.99% uptime SLA.
What does the Pay As You Go plan cost?
Pay As You Go is $0.008 per credit with no commitment and cancel anytime. If you need more than the free 1,000 credits but don't want a subscription, it's the simplest option.
How Tavily compares
Tavily vs SerpAPI
Pick SerpAPI if you want raw search engine results data, and Tavily if you want content already extracted and chunked for an LLM.
Tavily vs Exa
Exa is the closest AI-native search API rival, so run both against your own queries rather than trusting either company's benchmarks.
Tavily vs Brave Search API
Brave's API gives you an independent index, but you'll still build your own extraction layer, which Tavily handles for you.
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