Key Features

Continuous tracking of web changes based on scheduled queries.
Delivery of updates via configurable webhook notifications upon event detection.
Support for scheduling cadences including Hourly, Daily, and Weekly.
Ability to manage the monitor lifecycle: create, update cadence/webhooks, and delete.
Retrieval of historical events through a lookback window or by listing recent runs.
Allows setting custom metadata to aid in webhook routing and identification.
Uses natural language processing to interpret user intent for precise monitoring.
Provides source URLs for detected events for verification and context.

A core strength of the Monitor API lies in its ability to deliver updates precisely when they are needed, minimizing latency and system overhead. This is achieved through integrated webhook notifications, which push concise updates directly to specified endpoints the moment a relevant event is detected or a scheduled run is completed. This push mechanism is far more efficient than constant polling, ensuring that systems are immediately aware of significant changes, whether it’s a sudden news mention, a price adjustment from a competitor, or the release of new government guidance. Furthermore, the API provides robust lifecycle management, enabling users to easily update monitoring parameters or cleanly terminate monitors that are no longer required.


The versatility of the Monitor API is demonstrated through its wide array of practical applications. It excels at use cases ranging from tracking brand mentions and monitoring for new product announcements to ensuring compliance by watching for policy changes on critical third-party websites. Effective use hinges on writing clear, intent-heavy natural language queries, rather than keyword-dense search strings, to maximize the accuracy and relevance of the detected events. While currently in public alpha, indicating potential evolution in its structure, the framework established allows developers to immediately integrate sophisticated, scheduled web change detection into their existing workflows and applications.

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