Use Case ยท Data
Anomaly Detector
Monitors metrics streams and alerts on statistically significant anomalies with low false positive rates.
README
Overview
Anomaly Detector applies statistical methods to your time-series data to find genuine anomalies while filtering out normal variation. It accounts for seasonality, correlates across related metrics, and provides confidence levels with every alert. When it flags something, it tells you exactly why and where to investigate.
README
Use Cases
| Request | Output |
|---|---|
| "Analyze our API latency for the past week" | Detected anomalies with timestamps, deviation magnitude, and likely causes |
| "Set up conversion rate monitoring" | Detection config with seasonality adjustments and alert thresholds |
| "Is this traffic spike normal or an attack?" | Statistical comparison against historical patterns with confidence level |
Build notes
Source coverage
- Category: Data
- README available: Yes
- SOUL available: Yes
- Source path: agents/data/anomaly-detector