Firecrawl Prometheus
Forward-deployed web data agent that builds, tests, and schedules website collectors from plain English
Pricing
Free & Paid
Platforms
Web, API, MCP...
Developer
Firecrawl (Mendable)
Rating
4.6 / 5.0
Last Updated
August 23, 2026
Overview
Prometheus is a forward-deployed web data agent from Firecrawl, the open-source scraping platform used by 80,000+ companies including teams at Apple, Canva, and Lovable.
Instead of asking engineering to build custom collectors, marketers and analysts describe the data they want in plain English — competitor pricing, product listings, review counts, job postings — and Prometheus automatically generates a TypeScript Firecrawl SDK collector, tests it against sample data, and either delivers the code or runs it on a schedule.
Use Cases
Monitoring competitor websites for pricing, stock, and listing changes with scheduled collectors
Building lead enrichment pipelines that turn company websites into structured, LLM-ready data
Gathering market research and review data for content and product teams without engineering help
Powering AI agents and automation stacks with live web context via MCP, CLI, or HTTP API
Tracking your own pages performance metrics and content changes automatically
Who Is This For
Marketing teams that need competitor and market data but cannot get engineering time for scrapers
Growth and RevOps teams building lead enrichment and account research pipelines
SEO and content teams monitoring SERP data, reviews, and competitor content changes
AI agent builders who want a reliable, open web-data layer with MCP support
Analysts who prefer reproducible, version-controlled data collectors over point-and-click tools
Key Features
Plain-English Data Requests
Describe the data you need — competitor prices, listings, reviews — and Prometheus builds the collector without engineering help.
Self-Testing Collector Generation
Automatically generates a TypeScript Firecrawl SDK collector, verifies it against sample data, and delivers tested code or scheduled runs.
Scheduled Delivery & Auto-Healing
Runs collectors on a schedule and repairs them when target pages change structure, keeping data pipelines alive.
Agent-Ready Access
Connect any AI agent via HTTP API, CLI, or MCP server in minutes — built for ChatGPT, Claude, and custom agent stacks.
Firecrawl Data Engine
Search, Scrape, Crawl, Map, and Interact endpoints with 96% web coverage and 5B+ requests served, outputting LLM-ready markdown and JSON.
Pros & Cons
Pros
- Removes the engineering bottleneck: describe data in plain English and get a tested, version-controlled collector
- Built on Firecrawl battle-tested engine — 80,000+ companies, 96% web coverage, 5B+ requests served
- Scheduled runs with auto-healing keep monitoring pipelines stable as pages change
- MCP, CLI, and HTTP access make it plug-and-play for AI agents and automation stacks
- Real free tier (1,000 credits/month) and transparent credit-based pricing
Cons
- Prometheus is labeled a free experiment — early-stage, so review generated collectors before production use
- Generates code (TypeScript) rather than a no-code UI; non-technical users still touch code concepts
- Credit-based pricing means always-on monitoring can add up (Monitor costs 1 credit per page per check)
- Not a marketing-specific agent: it collects data but does not analyze or act on it for you
Pricing Plans
Free
For getting started with web data collection.
- 1,000 credits/month
- Scrape 1,000 pages
- 2 concurrent requests
- No credit card required
Hobby
For side projects and small tools.
- 5,000 credits/month
- Scrape 5,000 pages
- 5 concurrent requests
- Basic support
Standard
For scaling data collection with less effort.
- 100,000 credits/month
- Scrape 100,000 pages
- 25 concurrent requests
- Standard support
Growth
For high-volume pipelines and speed.
- 500,000 credits/month
- Scrape 500,000 pages
- 50 concurrent requests
- Priority support
Frequently Asked Questions
Editorial Review
Editorial Team
August 23, 2026
Firecrawl is already the web-data backbone of the AI agent stack, and Prometheus is the right evolution: you say what data you need and it writes, tests, and schedules the collector for you. For marketing teams doing competitor price tracking or lead research, this removes the "ask engineering for a scraper" bottleneck entirely, and the MCP and CLI access make it trivially easy to hand off to any agent.
Editorial Team
August 23, 2026
We rate Prometheus highly as an experiment with production-grade foundations — the underlying engine serves 5B+ requests at 96% web coverage. The caveats are real: it is labeled a free experiment, the output is code you should review, and credit costs add up for always-on monitoring. Teams that want a zero-code scraper should compare it with Browse AI; teams building data pipelines should start here.
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