


/monitor notifies your agent via webhook the moment pages or sites change. Use up to 90% fewer LLM tokens by only ingesting what changes on a page.
/monitor is a web change detection tool that sends webhook notifications to your AI agent the moment a page or site changes. Instead of re-scraping entire pages repeatedly, it only alerts you to what actually changed, helping you use up to 90% fewer LLM tokens. It's part of the Firecrawl ecosystem, an open-source API that helps AI systems search, scrape, and interact with the web at scale.
/monitor sends a notification to your agent's webhook endpoint the moment a page changes. This eliminates polling and ensures your agent only acts when there's new information to process.
Instead of re-ingesting an entire page, /monitor delivers only the changed content. This can reduce LLM token usage by up to 90%, making it cost-effective for agents that monitor many pages.
Firecrawl's underlying infrastructure intelligently waits for content to load, including JavaScript-heavy pages. This means /monitor detects changes accurately even on dynamic single-page applications.
/monitor lets your agent stop guessing and start knowing — only the changes, only when they happen.
Most change detection tools either poll on a schedule or require full page re-scrapes. /monitor flips this model by pushing changes to your agent via webhook, so your agent stays current without wasting tokens on unchanged content. Combined with Firecrawl's 96% web coverage and 3.4s P95 latency, it's built for agents that need to react fast without burning through API budgets.
You're building an AI agent that monitors websites for updates, tracks competitor changes, or watches documentation for breaking changes. If you're already using Firecrawl for scraping and search, /monitor slots in as a natural extension. It's also worth a look if you're tired of paying for full-page re-scrapes when all you need is the diff.
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