Anomaly Detection
DetectPrice: $0.02/callLatency: <1msComplexity: O(n)
Quick scenarios
Detect outliers in sensor data using Z-Score method with a 2.5 standard deviation threshold.
Click "Run Algorithm" to see results
cURL
curl -X POST https://oraclaw-api.onrender.com/api/v1/detect/anomaly \
-H "Content-Type: application/json" \
-d '{"data":[10,12,11,13,10,12,50,11,13,10,12,11,100,13,10,12,11,10,-20,12],"method":"zscore","threshold":2.5}'Input Schema
data: number[]
method: 'zscore' | 'iqr'
threshold: number (default: 3.0 for zscore, 1.5 for iqr)
Output Fields
methodanomaliesstatstotalPointsanomalyCount