Tavily

Tavily is a search, extraction and crawling API purpose-built for AI agents and RAG pipelines. It runs its own index rather than reselling Google rankings, and returns clean, LLM-ready content in a single call, so engineering teams get grounded, citable web data without building and maintaining their own scraping, ranking and parsing stack.

Tavily is a web-access API built specifically for AI agents and retrieval-augmented generation pipelines, replacing the scrape-and-parse plumbing teams would otherwise write themselves. Rather than reselling Google or Bing rankings, it operates its own index and returns cleaned, LLM-ready content in a single call. Five endpoints cover the workflow: Search (fast ranked results), Extract (structured page content), Map (URL discovery across a site), Crawl (whole-site extraction) and Research, an agent that runs multi-step investigations and returns a synthesised report. The vendor publishes a 180 ms p50 latency on Search, a 99.99% uptime SLA, more than 300 million monthly requests and 2 million developers; an independent 2025 comparison of five search APIs measured 93.3% accuracy on SimpleQA and a 1.9-second average response, third-fastest of the group. Official Python and JavaScript SDKs plus first-class LangChain, LlamaIndex and Model Context Protocol integrations make it a common default inside agent frameworks, and the Python SDK is MIT-licensed with roughly 1,370 GitHub stars and active releases through mid-2026. Named users include IBM, MongoDB, LangChain, JetBrains, AWS, Mastercard, Cohere and Groq. Founded in Israel in 2024 by Rotem Weiss, Assaf Elovic and Yuval Rozio, Tavily raised $25 million led by Insight Partners and Alpha Wave Global before Nebius agreed in February 2026 to acquire it for a reported $275 million — as much as $400 million with performance earn-outs — folding agentic search into Nebius's AI cloud platform.

Category

Agent Development

Pricing

Freemium, Usage-based, Subscription, Contact for pricing

Target Market

CTOs, Enterprise Developers, AI/ML Engineers, Data Scientists, Platform Engineering Leads

Deployment

API-based, Cloud-only

Founded

2024

Customers

Vendor claims 2M+ developers; Nebius cited 1M+ developers and 3M monthly SDK downloads at acquisition. Named users include IBM, MongoDB, LangChain, JetBrains, AWS, Mastercard, Cohere and Groq.

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  Search endpoint

  Returns ranked, cleaned results from Tavily's own index with configurable search depth and domain filtering, at a published 180 ms p50 latency.

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  Extract endpoint

  Pulls structured, LLM-ready content out of specific URLs in batches, and charges nothing for extractions that fail.

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  Crawl and Map endpoints

  Map discovers URLs across a whole site and Crawl extracts them, so an agent can ingest documentation or a competitor site in one job.

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  Research endpoint

  An agent that runs multi-step web investigation and returns a synthesised report, priced dynamically at 4-250 credits depending on model tier.

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  Framework and MCP integrations

  Native LangChain, LlamaIndex and Model Context Protocol support plus Python and JavaScript SDKs, so it drops into existing agent stacks without glue code.

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  Enterprise security posture

  SOC 2 Type II and ISO 27001 with zero data retention by default, which is what lets regulated teams put it in production paths.

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  Grounded customer-facing assistant

  A support or sales assistant queries Tavily before answering so replies cite live product, pricing and policy pages rather than stale training data.

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  Automated deep research

  An analyst agent calls the Research endpoint to investigate a market or vendor across many sources and returns a cited brief in minutes.

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  Company and lead enrichment

  A GTM pipeline crawls company sites and news to fill firmographic fields, which one AWS Marketplace reviewer cites as their production use.

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  Coding agent with live docs

  A coding agent maps and extracts a library's documentation site so generated code matches the current API rather than a year-old snapshot.

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  Continuous competitive monitoring

  A scheduled agent crawls competitor pricing and release pages daily and flags material changes to a product or strategy team.

Metered in API credits, not seats: basic Search costs 1 credit and advanced Search 2, Extract is 1 credit per 5 URLs (2 advanced), Map is 1 credit per 10 pages, and the Research endpoint swings from 4 to 250 credits per call depending on model tier — so agent workloads are genuinely hard to forecast before you instrument them. List pricing is published up to the Project tier (from $30/mo for 4,000 credits) with pay-as-you-go at $0.008/credit; an independent comparison put effective cost at roughly $5-8 per 1,000 searches, cheaper than SerpAPI but far above raw scraping APIs. Enterprise is quote-only, and the AWS Marketplace listing shows a 12-month contract at $49,000 with a 90-day 1,000-credit trial.

This page was written from 9 sources, 7 on domains other than tavily.com.

1. 1.tavily.com — tavily.comvendor
2. 2.tavily.com — pricingvendor
3. 3.docs.tavily.com — api credits
4. 4.nebius.com — nebius announces agreement to acquire tavily to add agentic
5. 5.aws.amazon.com — prodview myijjwd7qoky4
6. 6.github.com — tavily python
7. 7.timesofisrael.com — dutch based nebius buys israeli startup that connects ai age
8. 8.dev.to — best serp api comparison 2025 serpapi vs exa vs tavily vs sc
9. 9.hn.algolia.com — hn.algolia.com