tavily-extract

Comprehensive research on any topic with automatic source gathering, analysis, and citations. Conducts multi-source web research with explicit citations, ideal for comparisons, current events, market analysis, and detailed reports Offers three model options: mini for targeted single-topic research (~30s), pro for comprehensive multi-angle analysis (~60-120s), and auto for API-driven complexity detection Authenticates via OAuth through Tavily MCP server with automatic browser-based login on...

Web search with LLM-optimized results, relevance scoring, and flexible filtering. Supports four search depth modes (ultra-fast, fast, basic, advanced) with configurable latency and relevance tradeoffs Includes domain filtering, time range constraints, date ranges, country boosting, and raw content extraction Returns results with title, URL, content snippet, and relevance score; optional image results and favicons Automatic OAuth authentication via Tavily MCP server or API key configuration;...

Web search API for LLMs with real-time data access, content extraction, site crawling, and AI-powered research. Five core methods: search() for web results, extract() for URL content, crawl() for site-wide extraction, map() for URL discovery, and research() for end-to-end AI synthesis Supports Python and JavaScript SDKs with async clients for parallel queries and configurable search depth (ultra-fast/fast/basic/advanced) Crawl method accepts semantic instructions to focus extraction on...

Web search, content extraction, site crawling, and deep research via Tavily CLI. Five command modes covering search, extraction, URL discovery, bulk crawling, and multi-source research with citations All commands support JSON output and file saving for structured, agentic workflows Escalation pattern guides you from simple search through extraction, mapping, crawling, to comprehensive research based on your needs Requires tavily-cli installation and API key authentication via tvly login

Multi-page website crawler with semantic filtering and markdown export. Crawl entire site sections with depth and breadth control; filter by path regex, domain, or natural language instructions to focus results Save each page as local markdown files via --output-dir , or return structured JSON for agentic processing Use semantic instructions with chunk extraction to prevent context bloat when feeding results to LLMs; use full-page extraction for offline documentation downloads Supports...

Search the web, filter results, and extract content so that raw search data never enters your context window . Only your curated print() output comes back.

Comprehensive AI-powered research with multi-source synthesis and citations. Produces structured reports grounded in web sources, taking 30-120 seconds depending on model selection (mini for targeted queries, pro for complex comparisons) Supports multiple output formats: markdown reports, JSON with custom schemas, and configurable citation styles (numbered, MLA, APA, Chicago) Includes async workflow for long-running research via --no-wait , status , and poll commands, plus real-time...

Web search with LLM-optimized results, content snippets, and relevance scores. Supports four search depths (ultra-fast, fast, basic, advanced) with configurable result counts up to 20, plus domain filtering and time-range constraints Returns structured JSON output with content snippets, relevance scores, and metadata optimized for LLM consumption Includes specialized search modes for news and finance topics, with optional AI-generated answers and full page content extraction Integrates into...