Abstract
Existing tools for monitoring webpage changes are often limited to specific platforms or provide only retrospective data, lacking real-time granularity across diverse web environments. Described is a method for real-time monitoring and edit history tracking via an agentic browser. A user-defined webpage is monitored based on specified duration and frequency parameters. Snapshots of the webpage are captured and compared at defined intervals, with differences between versions identified, timestamped, and stored. This process may involve the use of machine learning models to categorize or describe significant changes. A user interface is provided to visualize the collected edit history, allowing for the review of specific changes or the generation of redline comparisons. This approach enables universal change tracking and version history visualization for any accessible webpage, extending monitoring capabilities beyond the native features of individual websites or archival services.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Azose, Benjamin Albert, "Agentic Browser Interface For Real-Time Monitoring And Edit History Tracking", Technical Disclosure Commons, (May 12, 2026)
https://www.tdcommons.org/dpubs_series/10090