Tavily
What is Tavily?
Tavily is a web data API for AI teams that routes live search, extraction, research, crawling, and mapping into agent workflows. It returns reranked search snippets and structured page context, with built-in safeguards for production use. Tavily is used by WRITER, MongoDB, GROQ, LangChain, AWS, IBM, and JetBrains. Plans include Researcher: Free, Researcher: Pay As You Go at $0.008, Researcher: Project, and Researcher: Enterprise custom.
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At a glance
- Tavily is best for AI teams that need fresh web context for search, research, and extraction workflows.
- Yes — One API for search, extraction, research, crawling, and mapping.
What does Tavily do?
Tavily routes live web data into agent workflows through a single API that covers search, extraction, research, crawling, and mapping. Its search endpoint returns reranked, information-rich snippets so models can reason over facts without wasting tokens on noise, while extraction and crawl turn pages and sites into structured context. The product pages show production workloads, real traffic, and built-in safeguards for shipping agentic systems with less prompt fragility. At scale, Tavily says it handles 100M+ monthly requests, serves 1M+ developers, and has crawled and extracted billions of pages without downtime. It reports 99.99% uptime SLA and 180 ms p50 on /search. Customers and partners shown on the site include WRITER, MongoDB, GROQ, LangChain, AWS, IBM, and JetBrains, and the platform is a secure web access layer for agents rather than a general browser tool.
Why use Tavily?
- A single API covers search, extraction, research, crawling, and mapping, which reduces integration sprawl for agent builders.
- Reranked results and structured snippets help models reason over current facts instead of noisy page text.
- Production metrics like 100M+ monthly requests and 99.99% uptime signal it can sit in mission-critical workflows.
- The platform is already used by named teams such as WRITER, MongoDB, GROQ, LangChain, AWS, IBM, and JetBrains.
- Built-in safeguards and enterprise support make it easier to move from prototypes to production systems.
Who is Tavily for?
- AI product teams who need live web context for agent features.
- Research teams who want citations and structured outputs from current web sources.
- Engineering teams who need a single API for search, crawl, extract, and map workflows.
- Enterprise platform teams who need production-grade uptime and support for agent workloads.
- Sales and operations teams who enrich workflows with current company and market information.
What are Tavily's key features?
Real-time search
Run fresh web searches through the /search API and get current results for AI agents, which matters when answers must reflect live information.
extraction
Pull structured data from web pages with the extraction API, helping teams turn unstructured pages into usable fields for downstream workflows.
research
Use one API for search, extraction, research, crawling, and mapping, so teams can build research flows without stitching together multiple services.
web crawling
Crawl pages at scale with Tavily's crawling API, backed by billions of pages crawled and extracted without downtime for dependable ingestion.
Ground models with fresh web context
Feed models current web context from Tavily search and extraction, reducing stale answers when agents need up-to-date facts from the web.
Handle thousands of web queries in seconds
Process thousands of API credits and high-volume requests quickly, with 100M+ monthly requests handled and 180 ms p50 on /search.
Ship to production with built-in safeguards
Deploy with enterprise-grade security, privacy, and a 99.99% uptime SLA, which helps teams trust Tavily in production systems.
search
Use the search endpoint through the documented API reference to query the web programmatically, useful for agentic apps and retrieval pipelines.
What does Tavily integrate with?
- OpenAI
- Anthropic
- Groq
- Databricks
- IBM
- JetBrains
- AWS
- Microsoft Azure
- Snowflake
- LangChain
- Zapier
- Composio
- n8n
- Vercel
- LlamaIndex
- Make
- Google Calendar
What are Tavily's use cases?
Agent context for product teams
AI product teams who need live web context for agent features use Tavily to ground responses in current sources, using Real-time search and Ground models with fresh web context to keep answers up to date. They can also use extraction to pull structured facts into the workflow instead of passing raw pages around.
Cited research for analysts
Research teams who want citations and structured outputs from current web sources use Tavily to gather evidence for briefs, using research and search to collect relevant pages with traceable context. Extraction helps turn those sources into usable outputs that support faster writeups and cleaner citations.
Web workflows for engineers
Engineering teams who need a single API for search, crawl, extract, and map workflows use Tavily to wire web data into applications, using web crawling and Handle thousands of web queries in seconds to keep pipelines responsive. Ship to production with built-in safeguards helps them move from prototype to reliable deployment.
Current enrichment for ops
Sales and operations teams who enrich workflows with current company and market information use Tavily to refresh records before outreach or reporting, using Real-time search and Enrich to add timely context. They can then use extraction to standardize the results for downstream tools and dashboards.
How does Tavily work?
- Connect your first workflow to the search API and send a live query to Tavily. Use Real-time search to pull current web results instead of relying on stale cached data.
- Switch to research when you need sourced answers, then review the returned citations and structured output. Use research and search together to turn web pages into usable evidence.
- Add extraction or web crawling for pages that need deeper parsing. Map the content into the fields your app expects, so downstream systems receive clean, structured data.
- Ground model responses with fresh web context before they reach users. Ship to production with built-in safeguards to keep agent workflows stable as traffic grows.
- Scale up to Handle thousands of web queries in seconds, then monitor ongoing usage and quality. Use the same API for search, extract, crawl, and map as needs expand.
How much does Tavily cost?
Researcher: Free
Free- For new creators
- 1,000 API credits / month
- No credit card required
- Email support
Researcher: Pay As You Go
$0.008- Pay As You Go
- For flexible usage
- Pay only for what you use
- Cancel anytime
- Email support
Researcher: Project
$01234567890123456789- Pay As You Go
- Free
- Enterprise
- Built for enthusiasts
- Slide to adjust plan
- 4,000 API credits / month
- Higher rate limits
- Email support
Researcher: Enterprise
Custom- For corporations
- Custom API calls
- Custom rate limits
- Support and SLAs
Frequently asked questions
What is Tavily?
Tavily is a web data API for AI teams that routes live search, extraction, research, crawling, and mapping into agent workflows. It returns reranked search snippets and structured page context, with built-in safeguards for production use. Tavily is used by WRITER, MongoDB, GROQ, LangChain, AWS, IBM, and JetBrains. Plans include Researcher: Free, Researcher: Pay As You Go at $0.008, Researcher: Project, and Researcher: Enterprise custom.
How much does Tavily cost? Is it free?
Tavily has a free plan, with paid tiers including Researcher: Pay As You Go at $0.008, Researcher: Project at $01234567890123456789, Researcher: Enterprise at Custom.
What is Tavily used for? Who is it for?
Tavily is used for Real-time search, extraction, and research. It's built for AI product teams, Research teams, and Engineering teams.
Does Tavily have an API and what does it integrate with?
One API for search, extraction, research, crawling, and mapping. It integrates with OpenAI, Anthropic, Groq, Databricks, IBM, and 12 more.
Editor's read
Check the credit ceiling on Researcher: Free and Researcher: Project before wiring Tavily into a high-volume workflow. Free includes 1,000 API credits per month, while Project includes 4,000 API credits per month and higher rate limits.
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