Firecrawl launched Research Index for agentic AI/ML research
It enables autonomous research loops with state-of-the-art recall and low cost.
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API for searching, scraping, and interacting with the web
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In short: Firecrawl secured $14.5M in Series A funding and expanded its AI agent infrastructure with the launch of Prometheus and new browser automation tools.
It enables autonomous research loops with state-of-the-art recall and low cost.
Developers get 1,000 free credits monthly, needing signup only for more. It works across MCP, CLI, and API.
It extracts precise text, code, or tables from web pages using up to 100x fewer tokens. Optimized for AI agents; expands to /search and /crawl soon.
These formats provide grounded answers or verbatim excerpts from web pages using one API call. They are 100x more token-efficient with managed LLM stack and prompt-injection protection.
Firecrawl is becoming core infrastructure for AI agents, giving systems reliable access to the live web and turning open-source traction into category leadership.
AI AGENTS Claude Code + Firecrawl: Agents That Browse The Web Like You Do Your AI agent can now read any webpage, fill forms, and...
Automated Web Scraping at Scale: Scraping modern websites is messy—JavaScript, bot protection, and inconsistent layouts make it worse. Firecrawl handles all of this for you...
Julie Bort / TechCrunch: Firecrawl, which offers an open-source web crawler for developers and AI agents, raised a $14.5M Series A led by Nexus Venture...
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