Problem
AI agents often waste costly LLM tokens by re-processing entire web pages even when only small portions change, leading to inefficiency and higher operational costs. Developers need a way to detect precise content changes in real-time and trigger agent actions only when relevant updates occur.
MVP Features
- Real-time web change detection via configurable polling or webhook triggers
- Granular diff reporting showing exactly what changed (text, HTML, or DOM elements)
- Webhook-based notifications to feed AI agents only the changed content
- Token usage estimator to demonstrate cost savings from selective ingestion
- Simple dashboard to manage monitored URLs and change history
AI Score: 80 · Status: approved