spb/tools-spboucher-ai

1{2  "slug": "exa",3  "name": "Exa",4  "aliases": ["Exa AI", "Metaphor"],5  "vendor": { "name": "Exa Labs", "slug": "exa-labs", "website": "https://exa.ai/" },6  "homepage_url": "https://exa.ai/",7  "docs_url": "https://exa.ai/docs",8  "repo_url": "https://github.com/exa-labs/exa-py",9  "pricing_url": "https://exa.ai/pricing",10  "product_type": "api-service",11  "product_status": "active",12  "summary": "Search API for AI agents built on Exa's own web index, offering search, page contents, deep research and asynchronous agent endpoints with Python and JavaScript SDKs",13  "description": "Exa (formerly Metaphor) is a web search API from Exa Labs designed for programmatic use by language-model applications. Unlike wrappers around consumer search engines, Exa operates its own crawl and index and exposes semantic as well as keyword retrieval. The Search endpoint returns results with optional page text, highlights or summaries trimmed to be token-efficient; Contents fetches full text for any URL; Deep Search reasons across sources and returns structured output; and asynchronous Agent endpoints handle research reports, list building and data enrichment.\n\nDevelopers integrate through the REST API, the `exa-py` and `exa-js` SDKs (MIT-licensed), a hosted MCP server and an installable agent skill. Pricing is pay-as-you-go per request with a free monthly credit allowance and enterprise contracts for volume.\n\nExa is used for research assistants, lead and company discovery, and grounding agents in current web content. It is a proprietary hosted service whose index coverage and ranking are not inspectable, it cannot read paywalled content, and heavy use of content retrieval adds cost on top of search calls.",14  "capabilities": ["Semantic and keyword web search over a proprietary index", "Full-text, highlights and summaries for result pages", "Deep search with structured output", "Asynchronous research and enrichment agents", "Python and JavaScript SDKs", "Hosted MCP server"],15  "workflows": ["Find similar companies or papers from an example URL", "Ground an assistant with fresh web sources", "Enrich a spreadsheet of entities with web data"],16  "advantages": ["Independent index built for machine consumers", "Semantic retrieval beyond keyword matching", "No subscription; pay per request"],17  "limitations": ["Proprietary hosted service", "Index coverage and ranking are opaque", "Costs grow with content retrieval volume"],18  "prerequisites": ["API key"],19  "audiences": ["Agent and RAG developers", "Analysts automating research and discovery"],20  "alternatives": ["tavily", "brave-search-api", "serpapi"],21  "categories": [{ "slug": "search-apis", "primary": true }],22  "tags": ["api", "llm", "agents", "web-search", "embeddings", "python", "typescript", "mcp"],23  "use_cases": ["search-the-web-programmatically", "build-agents"],24  "operating_systems": ["web"],25  "execution_modes": ["cloud"],26  "interfaces": ["api", "sdk", "mcp-server", "web"],27  "deployment_models": ["saas"],28  "integrations": ["LangChain", "LlamaIndex", "Vercel AI SDK", "Model Context Protocol", "OpenAI"],29  "data_formats": ["JSON"],30  "languages": ["Python", "TypeScript", "JavaScript"],31  "source_model": "proprietary",32  "pricing_model": ["freemium", "usage-based", "enterprise"],33  "pricing_checked_at": "2026-11-02",34  "self_hostable": false,35  "sources": [36    { "url": "https://exa.ai/", "type": "official_site", "title": "Exa | Search API for AI Agents", "supports": ["name", "summary"], "checked_at": "2026-11-02" },37    { "url": "https://exa.ai/docs", "type": "official_docs", "title": "Exa documentation", "supports": ["capabilities", "languages", "description"], "checked_at": "2026-11-02" },38    { "url": "https://exa.ai/pricing", "type": "pricing_page", "title": "Exa pricing", "supports": ["pricing_model"], "checked_at": "2026-11-02" },39    { "url": "https://github.com/exa-labs/exa-py", "type": "repository", "title": "exa-labs/exa-py", "supports": ["vendor", "languages"], "checked_at": "2026-11-02" }40  ],41  "confidence": "high",42  "discovery_method": "editorial-research",43  "depth": "standard",44  "editorial_status": "reviewed",45  "visibility": "public",46  "featured": false,47  "author": "batch-C"48}49