Tavily AI
Official@tavily-ai · United States of America
Tavily Search API is a search engine optimized for LLMs and RAG, aimed at efficient, quick and persistent search results
Agent Skills by Tavily AI
Showing 12 vetted skills indexed across 2 GitHub repositories.
tavily-dynamic-search
Perform programmatic web searches and extract filtered content while isolating raw HTML.
tavily-search
Search the web with Tavily CLI and return JSON results.
tavily-cli
Automate web search, URL content extraction, and site crawling with structured JSON output.
tavily-crawl
Crawl websites and save each page as a local markdown file.
tavily-extract
Extract markdown or text content from URLs using the Tavily CLI.
tavily-map
Discover and list all URLs on a website with depth and domain filters.
tavily-research
Generate structured research reports with citations from multiple web sources.
research
Query web data and synthesize cited research reports.
search
Search the web and retrieve content via Tavily's LLM-optimized API.
crawl
Crawl websites to download content as local markdown files.
tavily-best-practices
Document Tavily search, extract, crawl, map, and research APIs.
extract
Extract markdown or plain text from URLs via Tavily's extraction API.
Frequently Asked Questions About Tavily AI
FAQPage SchemaWhat specific tasks can be performed using these search and extraction capabilities?▼
Users can perform programmatic web searches, crawl entire domains to map URL structures, and extract clean markdown or text content from specific pages. These capabilities enable the synthesis of structured research reports complete with source citations, facilitating efficient data gathering from live web environments.
Which technical personas benefit most from these search and extraction functions?▼
Data engineers, research analysts, and software developers building information-retrieval systems benefit from these functions. These personas utilize the structured JSON output to integrate live web data into their internal knowledge bases, content pipelines, or analytical dashboards without manual browsing or complex parsing logic.
What are the primary prerequisites for integrating these search and extraction services?▼
Integration requires an active account and a valid authentication key to access the endpoints. Developers must configure their environment to handle JSON responses and manage network requests to the service endpoints, ensuring proper handling of the returned markdown or structured text data within their existing infrastructure.