Firecrawl vs Exa for AI Agents
Firecrawl turns a URL into clean data; Exa searches the web. Pick by the job, not the score. Both rate high on StackResolve.
Firecrawl and Exa solve different jobs, so the question is which job you have. Firecrawl takes a URL you already have and returns clean markdown or JSON. Exa searches the web to find URLs and passages you do not have yet. On StackResolve, Exa scores 92 for AgentReady and Firecrawl scores 87. Both rate high enough that the score is not the deciding factor. The workflow is.
#What each one does
Firecrawl is a scrape-and-crawl layer. Its API surface covers Scrape (one page to markdown or JSON), Crawl (a whole site), Map (list every URL under a domain without fetching them), and an Interact API for pages that need clicks. You hand it a URL and get back LLM-ready output with JavaScript already rendered.
Exa is a search engine built for models. Its products include a Search API, a SearchAgent, and tiers named Instant, Fast, and Deep for different latency and depth tradeoffs. Exa indexes the public web with embedding models, so an agent can ask for pages by meaning and get back ranked results with content already extracted.
The clean split: use Exa when you need to find pages, use Firecrawl when you already know the page and need its contents as structured data.
#The scores side by side
| Pillar | Firecrawl | Exa |
|---|---|---|
| AgentReady | 87 | 92 |
| Discovery | 83 | 100 |
| Understanding | 75 | 100 |
| Adoption | 88 | 81 |
| Operability | 100 | 88 |
Exa leads on Discovery and Understanding. It publishes an OpenAPI spec, request and response examples, documented errors, and documented limits, so an agent can read the contract and generate a client without guessing. Firecrawl has no public OpenAPI spec yet and thinner request and response examples in its reference, which is what pulls its Understanding score to 75.
Firecrawl leads on Operability, scoring 100. Its canonical scrape workflow runs end to end and its agent compatibility is verified. Exa scores 88 there; the two gaps StackResolve flags are missing retry documentation and no idempotency key for safe retries. Firecrawl's main open issue is publishing an OpenAPI spec and adding a copyable quickstart.
#Capabilities both share
Both ship the primitives an agent needs to adopt them without a human. Each has a REST API, an MCP server, a CLI, a published llms.txt, self-serve signup, and a free tier. Firecrawl offers SDKs for Python, TypeScript, Go, Java, and PHP. Exa offers Python, TypeScript, and Rust. Both are Claude, Cursor, and Codex compatible.
Pricing is self-serve on both. Firecrawl runs on monthly credits: a free plan at 1,000 credits, then Hobby at $16, Standard at $83, and up (billed yearly). Exa starts free with $20 in sign-up credits plus $10 monthly, then moves to pay-as-you-go per request. (Prices observed August 2026.)
#When to use each
Reach for Exa when the input is a question or topic and you do not yet have the source URLs. Research agents, competitive lookups, and retrieval over the open web fit here.
Reach for Firecrawl when you already hold URLs and need their contents in a fixed shape. Ingesting docs, watching known pages, or crawling a whole site into a dataset fit here.
The two compose well. Run Exa to find the right pages, then hand those URLs to Firecrawl to scrape into structured records. See the full breakdowns on Firecrawl's registry page and Exa's registry page, or browse other tools in web search.