usage-anomaly-detection
CommunitySpot unusual SaaS usage patterns in real time.
Data & Analytics#real-time#alerting#saas#anomaly-detection#batch-processing#tenants#usage-monitoring
Authormarquesfelip
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Detects abnormal usage patterns in SaaS systems to identify potential abuse, performance issues, and security concerns early, enabling proactive responses.
Core Features & Use Cases
- Real-time sliding-window detectors monitor per-tenant API rate, storage growth, and authentication failures to identify bursts and spikes.
- Hourly batch Z-score analysis computes deviations within plan cohorts to surface anomalies requiring investigation.
- Automated routing to alerts, throttling actions, and manual review queues, with an auditable anomaly log for investigations and compliance.
Quick Start
Configure the detectors to monitor API rate, storage growth, and auth failures, then run real-time checks on active tenants with hourly Z-score analysis to surface anomalies.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: usage-anomaly-detection Download link: https://github.com/marquesfelip/agents-and-skills/archive/main.zip#usage-anomaly-detection Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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