Anomaly Detector REST API reference - Azure Cognitive Services
This article demonstrates how to call a REST API endpoint for Anomaly Detector service. The Anomaly Detector API enables you to monitor and detect abnormalities in your time series data without having to know machine learning. The Anomaly Detector API's algorithms adapt by automatically identifying and applying the best-fitting models to your data, regardless of industry, scenario, or data volume. Using your time series data, the API determines boundaries for anomaly detection, expected values, and which data points are anomalies.
Start by creating an Azure Cognitive Services resource, and within that specifically an Anomaly Detector resource. For instructions, see Create a Cognitive Services resource using the portal.
From the Azure Portal, copy the key and endpoint required to make the call. For instructions, see Get the keys for your resource.
From the left navigation on this article, select the operation that you want to perform (e.g., Detect Change Point). On the right pane, select Try It.
In the REST API Try It pane, perform the following steps:
- In the Endpoint text box, enter the resource endpoint that you copied from the Azure portal.
- In the Ocp-Apim-Subscription-Key text box, enter the key that you copied from the Azure portal. If the call requires any more headers, add those with the appropriate values as well.
- Provide other parameters, headers, and message payload (body) as required for the operation.
- Select Run.
You will see the relevant response with an appropriate response code.
Visit the Cognitive Services REST API Sample Github repo for various samples on working with Cognitive Services using REST.
- For more information, see Anomaly Detector Documentation.
- To create an Azure Cognitive Service resource, see Get started with Azure Cognitive Service.
- To access REST specifications for previous versions of Anomaly Detector API, see this Github repo.