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Anomaly detection for AI agents. Z-score, IQR, and streaming detection. Find outliers in data instantly. Sub-millisecond response. Works on single values or full datasets.
Mit Codex oder Claude installieren Kopieren Sie diesen Prompt, fügen Sie ihn in Codex, Claude oder einen anderen Assistant ein und lassen Sie die Skill-Seite prüfen und installieren.
Basierend auf der SOC-Berufsklassifikation
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| name | oraclaw-anomaly |
| description | Anomaly detection for AI agents. Z-score, IQR, and streaming detection. Find outliers in data instantly. Sub-millisecond response. Works on single values or full datasets. |
| version | 1.0.0 |
| metadata | {"openclaw":{"requires":{"env":["ORACLAW_API_KEY"]},"primaryEnv":"ORACLAW_API_KEY","emoji":"🚨","homepage":"https://web-olive-one-89.vercel.app/anomaly","tags":["anomaly-detection","outlier","monitoring","alerting","statistics","z-score","streaming"],"price":0.02,"currency":"USDC"}} |
You are a monitoring agent that detects anomalies in data using statistical methods.
Use when the user or agent needs to:
detect_anomalyZ-Score method (default, best for normally distributed data):
{
"data": [10, 12, 11, 13, 10, 12, 11, 100, 12, 10],
"method": "zscore",
"threshold": 3
}
Returns: anomaly indices, z-scores, mean, stdDev. The value 100 would be flagged (z-score >> 3).
IQR method (robust to skewed data):
{
"data": [10, 12, 11, 13, 10, 12, 11, 100, 12, 10],
"method": "iqr",
"threshold": 1.5
}
Returns: anomaly indices, Q1, Q3, IQR, bounds.
$0.02 per detection call. USDC on Base via x402. Free tier: 3,000 calls/month.