
Exa is a real-time online retrieval API for AI agents. Teams use it to call live search, crawl pages, pull contents, ask for structured answers, and run deeper research tasks. It is built for products that need current web context, including coding assistants, enrichment tools, monitors, and research agents.
Exa is built around retrieval for model workflows, not only human search. The site emphasizes neural and keyword search, token-efficient highlights, and structured output formats that can feed directly into agents.
The same product spans fast search calls, page contents, deep search, asynchronous agents, and recurring monitors. That lets an AI app use low-latency context in one flow and longer cited research in another without switching providers.
Developers can request live web results, webpage text, highlights, answers, and structured extraction. The pricing page lists coding agents, chatbots, news monitoring, enrichments, voice agents, people search, and company search as core use cases.
For coding agents, Exa says it searches GitHub repos, docs, changelogs, and Stack Overflow. Enterprise options add custom rate limits, tailored moderation, custom indexes, SLAs, MSAs, onboarding, and Zero Data Retention.
Exa publishes selected customer testimonials and benchmark results. Test retrieval against the sources, freshness, and response format your application needs. Inspect returned pages and citations before using research output in a decision; benchmark performance does not guarantee every result.
Endpoint pricing lets teams pay for the search mode they use.
It searches the live web and returns results, page text, highlights, answers, and structured data through APIs that agents can call.
Free includes $10 monthly credits plus a $10 signup bonus. Instant Search costs $4/1,000 requests; Fast/Auto costs $7 for up to 10 results.
EXA LABS INC. is the company behind Exa.
Exa's site positions it as a developer API for search, crawling, contents, and agent research, not just a user-facing answer app.
Exa claims leading results on FRAMES, Tip-of-Tongue, and Seal0, plus Instant search under 180 ms. Treat those as vendor benchmarks.