GenPark Sliding Window Rate Anomaly Detector MCP
A real-time streaming anomaly and burst detector that uses z-score and EWMA algorithms to identify spikes in LLM token usage and API rates. It is built with 100% Python standard library dependencies, ensuring zero third-party runtime requirements, and plugs directly into MCP-compatible agents like Claude Desktop and Cursor for production resilience.
Package and access
Local package with source-attributed installation metadata. Koskamo does not execute packages during review.
What you can do with it
- Detect LLM token usage spikes in real-time
- Monitor API rate limiting anomalies
- Identify burst traffic patterns using EWMA
- Integrate anomaly detection into agent workflows
Source and maintenance
- Maintenance checked
Packages and installation
Source-provided package data. Koskamo has not executed or live-probed this package.
https://github.com/Alpha-Park/genpark-sliding-window-rate-anomaly-detector-skill/releases/download/v1.0.1/genpark-sliding-window-rate-anomaly-detector-skill-v1.0.1.mcpb
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Reported by the attributed source; not independently observed by Koskamo.
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