Threshold Detection
by AaaS · open-source · Last verified 2026-03-27
Evaluates real-time metrics against configurable thresholds (SLOs, SLIs, error budgets) and triggers appropriate responses. Supports static thresholds, dynamic baselines, and anomaly-based detection. Distinguishes between noise and genuine threshold breaches using historical context and burn-rate analysis.
Specifications
- License
- MIT
- Pricing
- open-source
- Capabilities
- static-threshold-evaluation, dynamic-baseline-comparison, burn-rate-analysis, noise-filtering, slo-compliance-tracking
- Integrations
- prometheus, datadog, grafana, pagerduty
- Use Cases
- slo-monitoring, alert-generation, deployment-gate-decisions
- API Available
- No
- Difficulty
- intermediate
- Prerequisites
- anomaly-detection
- Supported Agents
- uc-pipeline-healer, uc-sre-triage
- Tags
- monitoring, alerting, thresholds, anomaly, slo, sli
- Added
- 2026-03-27
- Completeness
- 100%
Index Score
59.2Fetch via API
Access Threshold Detection programmatically — pipe it into your agent, dashboard, or workflow.
curl -X GET "https://aaas.blog/api/entity/skill/threshold-detection" \
-H "x-api-key: aaas_your_key_here"Need an API key? Register free at /developer · Free tier: 1,000 req/day
Put AI to work for your business
Deploy this skill alongside autonomous AaaS agents that handle tasks end-to-end — no babysitting required.
Use Threshold Detection in production
Get credits and run agents on demand — pay only for what you use.
Stay updated on the AI ecosystem
Get weekly insights on tools, models, agents, and more — curated by AI.