Question

Explain the features of Anomaly Detector API?

Answer 1

With the Anomaly Detector, you can automatically detect anomalies throughout your time series data, or as they occur in real-time.

FEATURES

Feature	Description
Anomaly detection in real-time.	Detect anomalies in your streaming data by using previously seen data points to determine if your latest one is an anomaly. This operation generates a model using the data points you send, and determines if the target point is an anomaly. By calling the API with each new data point you generate, you can monitor your data as it's created.
Detect anomalies throughout your data set as a batch.	Use your time series to detect any anomalies that might exist throughout your data. This operation generates a model using your entire time series data, with each point analyzed with the same model.
Detect change points throughout your data set as a batch.	Use your time series to detect any trend change points that exist in your data. This operation generates a model using your entire time series data, with each point analyzed with the same model.
Get additional information about your data.	Get useful details about your data and any observed anomalies, including expected values, anomaly boundaries and positions.
Adjust anomaly detection boundaries.	The Anomaly Detector API automatically creates boundaries for anomaly detection. Adjust these boundaries to increase or decrease the API's sensitivity to data anomalies, and better fit your data.