Exa vs Firecrawl: search, scraping and agent context

Compare finding pages with reading pages. Both have search-related features, but a retrieval call, URL scrape and site crawl are different workloads.

Which API fits the job?

Start with what you already know. If you have the target URLs, test content extraction directly. If you need to discover sources, compare Search. If you need a whole site, define crawl coverage and failure criteria instead of reusing a search benchmark.

When to consider Exa

Consider Exa when discovery and selective reading are the core loop. Its separate Contents endpoint lets you make the reading step explicit rather than fetching every result by default.

When to consider Firecrawl

Consider Firecrawl when the job includes scraping, mapping or crawling sites after discovery. Price the actual pages and search credits consumed rather than treating every operation as one equivalent request.

What is measured and what is documented?

This page compares checked documentation and product contracts. We have not completed a matched All Them APIs run for this pair and assign no synthetic winner or composite score.

External evaluations can help choose a first configuration, but they use different models, topics, result limits and cost definitions. Review the source register before importing a ranking into your own decision.

Request shape, pricing and agent integration

Documentation reviewed October 27, 2026
DecisionExaFirecrawl
Search jobRanked retrieval with selectable modes and content fieldsSearch for URLs, optionally followed by scraping
Known URLsContents for supplied URLsScrape for one page; Map/Crawl for site workflows
Billing shapeMode-based request pricing with possible content add-onsPlan credits; search and page-reading workloads consume different units
Free evaluationMonthly Exa credit allowancePublished Firecrawl free plan credits with concurrency limits
Our source-retrieval reportAvailable, August 23No equivalent All Them APIs run yet

Prices are published USD list rates or explicitly labeled credit calculations, not observed costs from a new test. Extra results, content options, model tokens, account limits and minimum commitments can change the total. Check the linked source for the exact configuration.

A useful evaluation before switching

  1. Score source discovery separately from successful page extraction. A returned URL can still fail when the agent tries to read it.
  2. For a crawl, name the required pages and field completeness before the run. A fast homepage scrape does not establish site coverage.
  3. Keep JavaScript rendering, freshness/cache policy and content limits in the record. Different retrieval settings can dominate both price and latency.

Keep the same acceptance criteria across providers and save failures as failures. Avoid changing the target source, query or score threshold after seeing which vendor wins. Measure both useful evidence and the total workflow needed to obtain it.

Sources and review dates

Documentation review: October 27, 2026. Our own measured retrieval runs: August 23, 2026. External reports retain their publisher and measurement window.

Corrections: email faizank@docsalot.dev with an official source.