Anomaly Detection
by AaaS · open-source · Last verified 2026-03-27
Identifies deviations from normal system behavior across time-series telemetry data (CPU, memory, latency, error rates, request volumes). Uses statistical methods (z-score, IQR) and learned baselines to distinguish genuine anomalies from expected variance. A critical cross-foundry skill reused by SRE (F1), Fraud Detection (F6), and Supply Chain (F8) agents.
Specifications
- License
- MIT
- Pricing
- open-source
- Capabilities
- statistical-anomaly-detection, baseline-learning, multi-metric-correlation, severity-scoring, false-positive-reduction
- Integrations
- prometheus, datadog, grafana, cloudwatch
- Use Cases
- incident-detection, fraud-detection, predictive-maintenance, capacity-planning
- API Available
- No
- Difficulty
- advanced
- Prerequisites
- Supported Agents
- uc-sre-triage, uc-fraud-isolator, uc-predictive-maintainer
- Tags
- anomaly, detection, telemetry, statistical, ml, alerting
- Added
- 2026-03-27
- Completeness
- 100%
Index Score
66Fetch via API
Access Anomaly Detection programmatically — pipe it into your agent, dashboard, or workflow.
curl -X GET "https://aaas.blog/api/entity/skill/anomaly-detection-telemetry" \
-H "x-api-key: aaas_your_key_here"Need an API key? Register free at /developer · Free tier: 1,000 req/day
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