VentureCapital.Gold

Exa

The search engine built for AI — power your own sourcing agents

4.4Usage-based; free tierBest for Funds with technical DNA building proprietary sourcing and research agents
Search API Sourcing Agents AI Infrastructure

Overview

Exa (formerly Metaphor) is a meaning-based search engine built for AI applications: an embeddings-powered web index queried by semantic intent rather than keywords, exposed through an API plus Websets, which turns searches like 'seed-stage devtools companies with ex-FAANG founders' into structured, enriched lists. Y Combinator-alum and venture-backed, it has become a core primitive for funds building their own sourcing and research agents.

Key features

  • Semantic web search API that matches meaning, not keywords
  • Websets: searches returned as structured lists of companies and people
  • Similarity search — find companies like a given URL
  • Full-page content retrieval for downstream AI processing
  • Enrichment columns (funding, headcount signals, contact paths)

Pros

  • Purpose-built substrate for custom deal-sourcing agents
  • Finds long-tail companies keyword search and databases miss
  • Developer-friendly, with transparent usage pricing

Cons

  • An API-first tool — non-technical teams should start with Websets only
  • Coverage depends on the public web; stealth companies stay invisible
  • Entity data is thinner than dedicated company-data vendors

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