Exa Review 2026

Neural web search API and AI search engine built for LLM agents, with embedding-based retrieval and structured content extraction.

Exa is a search API engineered from the ground up for AI agents instead of human browsers. Where traditional search engines optimize for ten blue links and ad inventory, Exa indexes the web with embeddings and serves query-by-meaning results that surface authoritative pages even when the wording does not match. Developers can call /search for keyword or neural search, /findSimilar to expand a known page into a cluster of related sources, /contents to pull cleaned page text or summaries, and /answer for grounded LLM responses with citations. A newer Deep Research endpoint kicks off multi-step background investigations that return long-form reports. Exa also ships an MCP server, letting Claude Desktop, Cursor, and other MCP clients add Exa as a real-time search tool with one config entry. Pricing is usage-based: a generous free tier with $10 in credit, then pay-as-you-go from roughly $0.0001–$0.025 per query depending on result count, content extraction, and depth. Higher-volume Standard and Enterprise plans add dedicated capacity, SLAs, and discounted rates. Teams building research agents, RAG pipelines, monitoring tools, and competitive intelligence dashboards use Exa as a higher-signal replacement for SerpAPI-style scrapers when they need clean, semantically relevant pages rather than noisy SERP HTML.