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The Anomaly Finder API detects anomalies automatically in time series data. It supports two functionalities, one is for detecting the whole series with model trained by the timeseries, another is detecting last point with model trained by points before. By using this service, business customers can

🔑 apikey 2 endpoints cloud
📄 Docs 📋 OpenAPI spec 🔬 Try in Swagger UI

SDKs by language (9 total)

azure-sdk-for-python ✓ Official
pip install azure-sdk-for-python
azure-sdk-for-js ✓ Official
npm install azure-sdk-for-js
azure-sdk-for-node ✓ Official
npm install azure-sdk-for-node
azure-sdk-for-go ✓ Official
go get github.com/Azure/azure-sdk-for-go
azure-sdk-for-java ✓ Official
# Maven: see https://github.com/Azure/azure-sdk-for-java
dotnet add package cognitive-services-speech-sdk
azure-sdk-for-net ✓ Official
dotnet add package azure-sdk-for-net
# See https://github.com/microsoft/Azure-Kinect-Sensor-SDK
# See https://github.com/Azure/MachineLearningNotebooks
curl examples
Detect anomaly status of the latest point in time series.
curl \
  -H "Ocp-Apim-Subscription-Key: $API_KEY" \
  /timeseries/last/detect
Find anomalies for the entire series in batch.
curl \
  -H "Ocp-Apim-Subscription-Key: $API_KEY" \
  /timeseries/entire/detect
Endpoints (2 total)
POST
/timeseries/last/detect
Detect anomaly status of the latest point in time series.
POST
/timeseries/entire/detect
Find anomalies for the entire series in batch.
At a glance
Total SDKs9
Languages8
Endpoints2
Authapikey
Categories1