{"ok":true,"host":"api.exa.ai","status":"ready","manifest":{"positioning":"Exa is a web search and content retrieval API serving agents that need to find and read web content programmatically. It distinguishes itself by supporting both neural (semantic) and keyword search modes alongside direct URL content extraction. It is not a general-purpose database, vector store, or real-time data feed — it is specifically oriented toward web document discovery and retrieval.","host_overview":"api.exa.ai provides two complementary web retrieval capabilities: a neural and keyword search engine that returns ranked web results, and a content fetcher that retrieves full text from specific URLs. Together they cover the discover-then-read pattern common in research and information extraction workflows.","routing_guidance":"Use api.exa.ai when an agent needs to discover web pages via semantic or keyword search, retrieve full article or document text from known URLs, or chain both steps together for a research workflow. Do not use it for real-time or streaming data (use a dedicated market or event data API instead), private document search (use a vector database or RAG pipeline over your own corpus), structured database queries, or JavaScript-rendered single-page applications that require a headless browser. If the agent already has the target URLs, skip search-web-exa and call fetch-web-contents directly.","capability_clusters":[{"skill_names":["search-web-exa"],"cluster_name":"Web Search","cluster_summary":"Discovers relevant web pages and documents by running neural or keyword queries against the web, returning ranked results with titles, URLs, dates, relevance scores, and optional snippets."},{"skill_names":["fetch-web-contents"],"cluster_name":"Web Content Retrieval","cluster_summary":"Fetches the full text and metadata of known URLs, enabling agents to read and process the body of specific web pages or documents after discovery."}],"cross_skill_workflows":[{"steps":[{"skill_name":"search-web-exa","description":"Run a neural or keyword query to discover candidate URLs ranked by relevance."},{"skill_name":"fetch-web-contents","description":"Fetch the full text of the top-ranked URLs returned by the search for deeper reading or extraction."}],"when_to_use":"Use when an agent needs to find web content on a topic and then read the full text of the most relevant results, rather than relying on snippets alone.","workflow_name":"Search and Read"}]},"model":"claude-sonnet-4-6","version_no":1,"generated_at":"2026-05-18T06:54:53.789Z","provenance":"ai_authored_unreviewed","ai_authored":true,"merchant_reviewed":false,"merchant_edited":false,"merchant_reviewed_at":null,"merchant_edited_at":null,"skill_md_url":"https://x402gle.com/servers/api.exa.ai/SKILL.md","skills_url":"https://x402gle.com/servers/api.exa.ai/skills.json"}