Exa vs Firecrawl
Side-by-side comparison of features, pricing, and ratings
At a glance
| Dimension | Exa | Firecrawl |
|---|---|---|
| Pricing | Contact (free contents for first 10 results; $7/1k search+contents requests; $1/1k summaries) | Freemium (keyless 1k free credits/mo; paid plans starting at $19/mo for 6k credits) |
| Best For | AI agents needing structured, token-efficient web data at low latency | AI agents needing full content extraction, scraping, and web interaction |
| Key Features | Exa Agent, Deep Agent, Monitors, token-efficient highlights (90% reduction), structured output extraction | Scrape to markdown/JSON/screenshot, web interaction, /monitor, Research Index, Highlights/Question extraction |
| Latency | Sub-150ms search; Deep Agent 4-12s | P95 3.4s for scraping; web search latency depends on index |
| Open Source | No | Yes |
| Target Audience | Developers, enterprises, AI agent builders | Developers, startups, AI agent builders, RAG systems |
For structured, token-efficient search with low latency and enterprise-grade features (SOC 2, SSO), Exa is the stronger choice, especially with its new Agent API and Deep Agent. For teams needing full web scraping, interaction, and an open-source, freemium starting point, Firecrawl offers unmatched flexibility with its keyless tier and broad integrations. Choose Exa for production AI agent search; choose Firecrawl for flexible data gathering and scraping at scale.
Web search API built for AI agents with sub-180ms latency and token-efficient highlights.
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Firecrawl is the API that turns websites into clean, LLM-ready data for AI agents.
Visit WebsiteWho should pick which
- Solo founder building an AI research agentPick: Firecrawl
Firecrawl's freemium keyless tier allows zero-cost starting, and its scrape/interact features let the agent gather data from any web page without complex setup.
- Enterprise developing a lead enrichment AIPick: Exa
Exa offers structured company data across 70M+ entities, SOC 2 Type II certification, SSO, and zero data retention, meeting enterprise compliance needs.
- Developer creating a real-time news aggregator agentPick: Exa
Exa's sub-150ms search, Monitors with webhook delivery, and token-efficient highlights are ideal for low-latency, continuous data feeds.
- Researcher needing to scrape AI/ML papersPick: Firecrawl
Firecrawl's new Research Index is built for AI/ML papers with SOTA recall on arXivQA, plus it can parse PDFs and scrape full text.
- Team building a RAG system with web contentPick: Firecrawl
Firecrawl's scrape-to-markdown and token-efficient output (93% fewer tokens) integrate cleanly into RAG pipelines, and the open-source CLI aids setup.
Frequently Asked Questions
Exa vs Firecrawl: which should you choose?
For structured, token-efficient search with low latency and enterprise-grade features (SOC 2, SSO), Exa is the stronger choice, especially with its new Agent API and Deep Agent. For teams needing full web scraping, interaction, and an open-source, freemium starting point, Firecrawl offers unmatched flexibility with its keyless tier and broad integrations. Choose Exa for production AI agent search; choose Firecrawl for flexible data gathering and scraping at scale.
Which tool is faster for web search?
Exa claims sub-150ms search latency, while Firecrawl's P95 latency for scraping is about 3.4 seconds. For pure search speed, Exa is faster.
Can I use Firecrawl without an API key?
Yes: Firecrawl now offers Keyless access, providing 1,000 free credits/month with no account required (announced June 16, 2026).
Does Exa offer a free tier?
Exa does not have a free tier; it is a contact-based pricing model. However, the first 10 search results with contents are free per request.
Which tool is better for scraping JavaScript-heavy pages?
Both support JavaScript rendering. Firecrawl is built for full content extraction and interaction (click, type, navigate), making it more capable for complex scraping.
Which tool has better support for structured output?
Exa offers structured extraction (e.g., company data across 70M+ entities) and outputSchema with field-level grounding. Firecrawl now provides 'Question' and 'Highlights' for grounded answers, but less structured enrichment.
Is Firecrawl open-source?
Yes, Firecrawl is open-source. Exa is a proprietary API.
Which tool is better for LLM token reduction?
Exa's token-efficient highlights reduce token usage by up to 90%. Firecrawl's new Highlights and Question formats claim up to 100x fewer tokens. Both are strong, but Firecrawl's claim is more aggressive.
Can I monitor web pages for changes with these tools?
Both offer monitoring: Exa's Monitors (launched March 2026) provide scheduled searches with webhook delivery. Firecrawl's /monitor endpoint (launched May 2026) tracks changes and notifies via webhook or email.
More Exa or Firecrawl comparisons
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Choose Tavily if you need a lightning-fast, production-grade search API for AI agents with built-in security and the ability to pay per query via x402. Choose Firecrawl if your workload demands intera
For AI agent builders needing the fastest real-time search with the broadest integration ecosystem and security filters, Tavily's freemium model and innovative x402 payments make it the more future-pr
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Last reviewed: May 12, 2026