WaveGuard Python SDK
Anomaly detection powered by wave physics. Not machine learning.
One API call. Fully stateless. Works on any data type.
Benchmarks • Quickstart • Use Cases • Examples • MCP / Claude • API Reference
What is WaveGuard?
WaveGuard is a general-purpose anomaly detection API. Send it any data — server metrics, financial transactions, log files, sensor readings, time series — and get back anomaly scores, confidence levels, and explanations of which features triggered the alert.
No training pipelines. No model management. No state. One API call.
Your data → WaveGuard API (GPU) → Anomaly scores + explanationsUnder the hood, it uses GPU-accelerated wave physics instead of machine learning. You don't need to know or care about the physics — it's all server-side.
Modal dashboard vs API endpoints
If you look at Modal, you will see deployed functions (for example fastapi_app, gpu_scan, gpu_fingerprint).
Those are compute/runtime units, not the HTTP route list.
To see all live API endpoints, use:
