Last updated: 2026-06-15
Prometheus is Firecrawl's AI agent that turns plain-English requests into tested TypeScript web scrapers, on Firecrawl's $0 to $599/month credit plans in 2026.
Prometheus is Firecrawl's free-to-try AI agent, launched in 2026, that turns plain-English data requests into working TypeScript collectors built on the Firecrawl SDK. It tests each collector against the live target site before handing it back, then can run it on a schedule with automatic self-healing. Access uses Firecrawl's credit plans, from $0/month free (1,000 credits) to $599/month Scale (1M credits).
Prometheus is a "Forward Deployed Agent for web data" built by Firecrawl, the web scraping API company founded in 2024 by Eric Ciarla and Nicolas Camara and backed by a $14.5M Series A from Nexus Venture Partners. Launched on Product Hunt in 2026 as Firecrawl's eighth product, Prometheus is built to replace the engineer who would normally be assigned to scope, test, and build a one-off web scraper for a specific data request. The product follows a simple loop: a user describes the data they want in plain English, such as "top 5 Hacker News posts" or "track this competitor's pricing page weekly." Prometheus then experiments against the live target site, writes a real Firecrawl SDK collector in TypeScript, and runs it to confirm the output before handing the code back. Unlike a black-box no-code scraper, the result is reviewable, versionable source code that a developer can read, modify, and run anywhere. Teams can either deploy the generated collector themselves, or let Firecrawl host and run it on a schedule with automatic error recovery when the target site's layout changes. This makes Prometheus most useful for data engineers building RAG pipelines, AI agent developers who need self-healing data feeds, and founders or growth teams who know what data they need but have no spare engineering time to build it. Firecrawl has not published a standalone price for Prometheus; usage draws on Firecrawl's existing credit based plans, which range from a free tier (1,000 credits per month, no card required) up through Hobby at $16/month (5,000 credits), Standard at $83/month (100,000 credits), Growth at $333/month (500,000 credits), and Scale at $599/month (1,000,000 credits), with custom Enterprise pricing above that. Prometheus is web based, accessed through Firecrawl's platform, and integrates with the Firecrawl SDK and MCP server used in Cursor, Claude, and Windsurf. During its launch weekend, Prometheus was offered free to try directly through Claude, and Firecrawl said the agent had already been saving its own engineering team hours of scraper building work each week before the public release. Firecrawl's core scraping engine is open source under the AGPL-3.0 license, and the company reports a roughly 63% average scrape success rate against an industry average of 59.3%.
No standalone price; Prometheus runs on Firecrawl's credit plans. Free: $0/mo (1,000 credits, 2 concurrent requests). Hobby: $16/mo (5,000 credits). Standard: $83/mo (100,000 credits). Growth: $333/mo (500,000 credits). Scale: $599/mo (1,000,000 credits). Enterprise: custom. AI Extract is a separate token subscription from $89/mo.
Prometheus is a Forward Deployed Agent for web data built by Firecrawl, launched in 2026 as the company's eighth Product Hunt launch. Founded in 2024 and backed by a $14.5M Series A from Nexus Venture Partners, Firecrawl built Prometheus to replace the engineer who would normally scope, test, and build a one-off web scraper. Users describe the data they want in plain English, for example 'top 5 Hacker News posts' or 'track this competitor's pricing page.' Prometheus then experiments against the live target site, writes a real Firecrawl SDK collector in TypeScript, and runs it before handing the working code back to the user. It can either be deployed and run by the user's own team, or hosted and scheduled by Firecrawl with automatic error recovery when the target site's layout changes. The result is a reproducible, versionable scraper instead of a black-box automation.
Firecrawl has not published a separate price for Prometheus; it runs on top of Firecrawl's existing credit-based plans. The Free plan costs $0/month and includes 1,000 credits with 2 concurrent requests and no credit card required, enough to try Prometheus on a small project. The Hobby plan is $16/month for 5,000 credits, the Standard plan is $83/month for 100,000 credits, the Growth plan is $333/month for 500,000 credits, and the Scale plan is $599/month for 1,000,000 credits. Enterprise pricing is custom and adds SLAs and dedicated support. Each test run Prometheus performs while building and validating a collector consumes credits from these plans, so heavier collector-building sessions cost more. If a team also wants Firecrawl's separate AI Extract feature, that runs on its own token-based subscription starting at $89/month. During its launch weekend on Product Hunt, Prometheus was offered free to try with Claude.
Prometheus's core feature is turning a plain-English description of a data need into a working Firecrawl SDK collector written in TypeScript. Before handing the code back, it experiments against the live target site to confirm the selectors and output actually work, rather than returning untested boilerplate. Users can take that generated code and deploy it themselves inside their own infrastructure. Alternatively, Firecrawl can host the collector and run it on a schedule, automatically healing it when the target site's HTML structure changes. It is built directly on Firecrawl's scraping engine, which the company says achieves roughly a 63% scrape success rate against an industry average of 59.3%. Because the output is real SDK code rather than a config file, it can be version-controlled in git like any other code. The team built Prometheus internally first and said it was already saving their own engineers hours of scraper-building work each week before launch.
Prometheus itself does not have a separate subscription; access depends on having a Firecrawl account, and Firecrawl's Free plan costs $0/month with 1,000 credits and 2 concurrent requests, no credit card required. That free allotment is enough to test Prometheus on a small data-collection task, such as building a one-off scraper for a single page or feed. During its Product Hunt launch weekend, Firecrawl also offered Prometheus free to try directly through Claude. Heavier or recurring use, especially managed scheduled collectors that Firecrawl hosts and self-heals, will draw down credits faster and likely require upgrading to the $16/month Hobby plan or higher. There is no dedicated free trial period beyond the standing free credit allotment. Teams that need the separate AI Extract token-based feature alongside Prometheus should budget for its $89/month starting price as well.
Browse AI is the closest no-code alternative; it lets non-developers train 'robots' by pointing and clicking on a website and is used by over 500,000 users, making it a better fit for teams that do not want generated code at all. Apify is a stronger choice for teams that want a marketplace of 10,000+ pre-built scrapers with built-in scheduling and storage rather than a single agent that writes custom code on demand. n8n and Make are general workflow automation platforms; choose one of these over Prometheus if the scraping step is just one part of a larger multi-app automation you are already building visually. Bright Data is the better pick for enterprise teams targeting heavily anti-bot sites like Amazon or LinkedIn, where Firecrawl's roughly 63% success rate may not be enough. Crawl4AI is the open-source route if a team wants to self-host the entire scraping stack instead of relying on Firecrawl's hosted credits. Prometheus's advantage over all of these is that it produces reviewable, versionable TypeScript code that has already been tested against the live site before it is handed over.
Prometheus is best for data engineers and AI agent developers building RAG pipelines who know exactly what data they need but do not want to spend hours scoping selectors and handling site quirks themselves. It also suits founders, product managers, and growth teams who can describe a data need in plain English, such as monitoring a competitor's pricing page or pulling a restaurant's menu, but lack a free engineer to build the collector. Teams already using the Firecrawl SDK or MCP server in Cursor, Claude, or Windsurf get the most value, since Prometheus's output slots directly into that existing workflow. It is less suited to teams with no Firecrawl account or credit budget, since Prometheus has no fully standalone free tier of its own. It is also not the right fit for scraping targets with heavy anti-bot defenses like Amazon or LinkedIn, where Firecrawl's average 63% success rate may produce unreliable collectors. Enterprises with strict compliance needs can use it under Firecrawl's SOC 2 Type II and GDPR-compliant infrastructure, with zero data retention available on enterprise plans.
Prometheus does not expose its own separate public API; instead, the collectors it generates are built directly on the Firecrawl API and SDK, which is available in six official SDKs. Firecrawl also publishes an official open-source MCP server, hosted on GitHub under firecrawl/firecrawl-mcp-server, that adds web scraping and search tools to MCP-compatible clients such as Claude Code, Claude Desktop, Cursor, Windsurf, and VS Code with GitHub Copilot. Because Prometheus hands back real TypeScript code that calls the Firecrawl SDK, the generated collector is itself a piece of API-driven code that a developer can run, schedule, or modify like any other script. Firecrawl's underlying scraping engine and credit-based API were the basis the company built Prometheus on top of, rather than introducing a separate billing or auth layer. Firecrawl's core scraping engine is open source under the AGPL-3.0 license and can be self-hosted with Docker, though Prometheus as an agent feature is accessed through Firecrawl's hosted product. Native integrations also extend to LangChain and LlamaIndex through the Firecrawl SDK.
Browse AI is a no-code, point-and-click platform used by over 500,000 users to train 'robots' that scrape and monitor websites without writing any code, while Prometheus takes natural-language requests and writes real, reviewable TypeScript code using the Firecrawl SDK. Pricing differs structurally: Browse AI plans start at $19/month for its own credit system, while Prometheus draws on Firecrawl's separate credit plans starting at $0/month free and $16/month for the Hobby tier. Browse AI is the better choice for non-technical teams who want a visual robot-builder and do not want to see or maintain any code. Prometheus is the better choice for engineering and data teams who want generated code they can audit, version in git, and extend, plus the option of Firecrawl-managed scheduled hosting with self-healing. Both can hand off scheduled monitoring to the vendor, but Prometheus's output is portable to any environment that can run a Node.js or TypeScript script, whereas Browse AI's robots stay inside its platform. For teams already standardized on Firecrawl's scraping infrastructure or MCP server, Prometheus has the integration edge; for teams with no engineering resources at all, Browse AI's no-code interface is simpler to adopt.