tavily▌

Web search optimized for AI agents with real-time data retrieval. \n \n Single command interface ( scripts/search ) for querying the web with results tailored for agent consumption \n Supports JSON output formatting for structured data integration into agent workflows \n Requires Tavily API key for authentication; free API key available from tavily.com \n

Provide a curl-based interface to Tavily’s REST API for web search, extraction, mapping, crawling, and optional research. Return structured results suitable for LLM workflows and multi-step investigations.

$1f

Choose Tavily endpoint based on user intent:

Skill by ara.so — Daily 2026 Skills collection

Five AI-optimized web tools for search, content extraction, site crawling, mapping, and research reports. \n \n Five distinct tools: tavily_search for web queries with AI answers, tavily_extract for clean content from URLs, tavily_crawl for multi-page site traversal, tavily_map for URL discovery, and tavily_research for comprehensive multi-step research \n Supports advanced search modes including deep research, topic filtering (general/news/finance), and time-range constraints \n Crawl and map o

Web search with AI-optimized results, relevance scoring, and advanced filtering via Tavily API. \n \n Supports three topic types (general, news, finance) and two search depths (basic, advanced) with optional AI-generated answer summaries \n Includes domain filtering to include or exclude specific sites, time-range filtering (day, week, month, year), and configurable result counts \n Returns structured results with relevance scores, publication dates, and optional raw page content; supports both

Web search API for LLMs with real-time data access, content extraction, site crawling, and AI-powered research. \n \n 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 \n Supports Python and JavaScript SDKs with async clients for parallel queries and configurable search depth (ultra-fast/fast/basic/advanced) \n Crawl method accepts semantic instructions to focus extraction

Fast URL discovery on websites without extracting content, ideal for finding specific pages on large sites. \n \n Returns structured lists of all URLs on a domain with configurable depth and breadth, regex path filtering, and natural language instructions for semantic filtering \n Supports depth control (1–5 levels), breadth limits per page, external link inclusion/exclusion, and domain filtering via regex patterns \n Designed as step 1 in a workflow: map to find the right page, then use extract

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