Search API that finds pages by meaning for AI applications
Exa is a search engine and API intended to be called by software rather than browsed by a person. Queries are matched by embedding similarity instead of keywords, so a request such as a blog post by someone learning to sail returns pages that read that way even when the words never appear. Endpoints also fetch cleaned page text ready to drop into a prompt, and find similar links from a single known URL. It is the search step developers bolt onto agents and retrieval pipelines, and pricing is usage based, so cost scales with how often an application searches.
Last updated: 2026-09-20. This site only provides an index; for exact features, pricing, and licensing, see the official website.
rag pipelines, ai agents, semantic search and content retrieval
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It ranks by meaning rather than keyword overlap and can return page text with the results. That combination lets an agent search once instead of searching, scraping and cleaning in separate steps.
Usually not. The contents endpoint returns extracted text for the results, which removes most of the fetching and parsing work from a retrieval pipeline, though you still own chunking and ranking.
Yes, a limited free credit allowance exists for evaluation. Past that, pricing follows usage, so prototype with realistic queries before estimating what production traffic will cost.
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