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Anomaly detection API powered by physics simulation. Scan any data for outliers.

Status
Healthy
Last Tested
Transport
Streamable HTTP
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Available Tools

2 tools
waveguard_healthTry in Inspector

Check WaveGuard API health, GPU availability, version, and engine status. No authentication required.

ParametersJSON Schema
NameRequiredDescriptionDefault

No parameters

waveguard_scanTry in Inspector

Detect anomalies in data using GPU-accelerated wave physics simulation. Fully stateless — send training data (normal examples) and test data (samples to check) in ONE call. Returns per-sample anomaly scores, confidence levels, and the top features explaining WHY each anomaly was flagged. Works on any data type: JSON objects, numbers, text, time series, arrays. No separate training step required.

Example: to check if server metrics are anomalous, send 3-5 normal readings as training, and the suspect readings as test.

ParametersJSON Schema
NameRequiredDescriptionDefault
testYes1+ data points to check for anomalies. Same type/shape as training data. Each sample is scored independently.
trainingYes2+ examples of NORMAL/expected data. These define what 'normal' looks like. All samples should be the same type and shape. More samples = better baseline (4-10 is ideal).
sensitivityNoAnomaly threshold multiplier (default: 2.0). Lower = more sensitive. Higher = less sensitive. Range: 0.5 to 5.0.
encoder_typeNoData encoder type. Omit to auto-detect from data shape.

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