Exa
Overview
Exa is a neural search engine and web data API that uses embeddings and large language models to retrieve semantically relevant results from across the web, enabling AI agents, GTM workflows, and sales tools to find companies, people, and content by meaning rather than keywords.
Core Features:
- Neural search that understands meaning rather than just matching keywords, allowing users to query for concepts like "startups using computer vision for agriculture" and receive contextually relevant results that keyword-based search engines would miss.
- Websets list-building product that turns a natural language prompt into a structured, verified list of companies or people matching specific criteria, with pass/fail annotations per row and enrichment columns, eliminating manual list curation.
- Full page content extraction that returns complete webpage text alongside search results, enabling AI pipelines to ingest and process entire documents rather than just snippets, with optional highlights and custom summaries.
- Comprehensive web index covering 1 billion+ LinkedIn profiles (50M+ updates per week), company databases, GitHub repositories, academic papers, news, and general web content, providing breadth that general search APIs cannot match.
- API-first architecture with MCP server integration, supporting Claude Code, Cursor, and other AI tools natively, with structured JSON responses designed for production AI agent workflows at scale.
Best For:
GTM engineers, developers, and RevOps teams building AI-powered prospecting and research workflows who need a semantic search layer that goes beyond traditional keyword-based data providers. Also strong for AI product teams needing real-time web grounding. Not a standalone sales tool but a powerful building block for custom GTM pipelines.
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