• Tavily is a specialized search engine for AI applications and agents.
• It provides developers with access to real-time, relevant web information through a unified API.
• The service eliminates the need for traditional scraping, filtering, and cleaning of search results.
• Tavily offers optimized tools for large language model (LLM) workflows.
• It enables structured, high-quality search, extraction, crawling, and mapping capabilities.
• This integration facilitates the incorporation of dynamic internet data into generative-AI and retrieval-augmented-generation systems.
Real-time web search results optimized for large language models
Structured content extraction from URLs (cleaned text, Markdown, raw content) to feed AI workflows
Domain-scale crawling and mapping of websites for full-domain intelligence
Intelligent ranking and filtering of up to 20 sources per API call to surface the most relevant content
Low-latency, developer-friendly API with SDKs (Python, JavaScript/TypeScript) and integrations for common LLM toolchains
Credit-based usage model including a free tier for developers to prototype
Support for advanced search options like search depth, time range, domain inclusion/exclusion, and image/favicons
Ready-to-use integrations with LangChain, Flowise, n8n, and other agent frameworks
Enterprise-ready version with custom support, volume pricing and specialist features for production deployments
Focus on reliability, accuracy and unbiased information, positioning itself as an alternative to conventional search APIs for AI use-cases
What is Tavily and why is it different from Google or Bing search APIs?
Tavily is built to serve AI agents and LLM workflows: it doesn’t just return URLs and snippets, but handles scraping, filtering and relevance ranking across multiple sources in a single API call—tailored for real-time agent use.
How do I start using Tavily’s API?
Sign up at their website to obtain an API key. Then use the SDK (e.g., Python or JavaScript) or REST endpoints to send search, extract or crawl requests—there’s a free tier with 1,000 credits/month to begin.
What kinds of use-cases is Tavily suited for?
Use-cases include building autonomous AI agents, retrieval-augmented generation (RAG) systems, knowledge-base enrichment, real-time web research pipelines and multi-domain crawling for structured data.
Is there a cost associated with usage and how is it charged?
Yes. Tavily uses a credit-based billing model where e.g., a basic search counts as one credit, advanced searches or extractions cost more. There are monthly plans and pay-as-you-go options.
Can Tavily handle large-scale crawling across entire domains?
Yes. Their “Crawl” and “Map” endpoints support deep traversal of websites, domain-scale discovery and extraction, making it possible to build full site maps accessible to AI agents.