Exa vs Firecrawl

Exa and Firecrawl both serve AI agents but differ in core focus. Exa prioritizes fast (<150ms), structured search with token-efficient highlights (up to 90% reduction) and a new Exa Agent for natural-language queries with effort modes. Its Deep Agent handles multi-step research in 4-12 seconds, and Monitors enable scheduled data updates via webhook. Exa also offers structured company enrichment across 70M+ entities and zero data retention for compliance. Firecrawl excels at content extraction and interaction: it scrapes to markdown, JSON, or screenshots, can click/type/navigate pages, and supports media parsing (PDF, DOCX). Its new /monitor endpoint tracks web changes with webhook or email, and the Research Index specializes in AI/ML papers. Firecrawl's Highlights and Question features reduce tokens by 100x. Exa is API-only with no open-source option, while Firecrawl is open-source and offers a CLI and MCP client. Both support semantic search and are designed for LLM workflows, but Exa leans toward search-as-a-service, Firecrawl toward scraping-as-a-service.

Exa moved to a usage-based pricing model in March 2026: search with contents costs $7/1k requests (first 10 results included free), summaries $1/1k, Exa Deep $12/1k, Deep Reasoning $15/1k, and contents endpoint $1/1k pages. No free tier is offered; pricing requires contacting sales. Firecrawl operates on a freemium model: the new keyless tier gives 1,000 free credits/month with no account needed. Paid plans start with 6k credits for $19/month, scaling up. Firecrawl credits are consumed per scrape or search, making it more accessible for small projects and prototyping. Exa is better suited for enterprises with predictable, high-volume needs that benefit from dedicated support and compliance certifications. Firecrawl is ideal for startups and developers testing AI agent workflows without upfront commitment. Both have reduced token costs for LLM integration, but Exa's pricing is per-request while Firecrawl's is credit-based.