What are the detection modes of azure anomaly detector?

Question

What are the detection modes of azure anomaly detector and how do we access them with the URI?

[Note: As we migrate from MSDN, this question has been posted by an Azure Cloud Engineer as a frequently asked question] Source: MicrosoftDocs

Answer 1

The Anomaly Detector API provides detection modes: batch and streaming.

Batch detection
To detect anomalies throughout a batch of data points over a given time range, use the following request URI with your time series data:

/timeseries/entire/detect.

By sending your time series data at once, the API will generate a model using the entire series, and analyze each data point with it.

Streaming detection
To continuously detect anomalies on streaming data, use the following request URI with your latest data point:

/timeseries/last/detect'.

By sending new data points as you generate them, you can monitor your data in real time. A model will be generated with the data points you send, and the API will determine if the latest point in the time series is an anomaly.

The following request URLs must be combined with the appropriate endpoint for your subscription.
For example: https://your-custom-subdomain.api.cognitive.microsoft.com/anomalydetector/v1.0/timeseries/entire/detect

Source: Azure Documentation