Building AI apps that need real web data? Exa takes a different approach to search APIs. Unlike traditional search engines built for ads, it uses neural search designed to return exactly what you ask for.
Four main endpoints power everything. Search grabs results and their contents. Crawl pulls all pages from a site. Answer summarizes web results in natural language. Research handles deep dives into topics.
Speed matters here. Exa Instant delivers sub-200ms search latency for real-time applications. You can pull up to 1,000 results per search on custom plans.
Say you're a startup CTO building an AI research assistant. Your app needs to find specific company information fast. Exa's company search hits 62% accuracy compared to 37% for Parallel and 36% for Brave on the same benchmark. That's a meaningful difference when your users expect precise results.
Pricing gets complex — separate costs for different features. Search runs $5-25 per 1k requests depending on result count. Contents cost $1 per 1k pages. Text costs extra. Highlights cost extra. Summaries add their own fees too.
You get $10 in free credits upfront. No credit card needed.
Exa integrates with GitHub and includes an MCP server. Custom enterprise plans handle high-volume needs that blow past the standard limits.
