How to run Multivariate Anomaly Detector API in Postman?

Important

Starting on the 20th of September, 2023 you won’t be able to create new Anomaly Detector resources. The Anomaly Detector service is being retired on the 1st of October, 2026.

This article will walk you through the process of using Postman to access the Multivariate Anomaly Detection REST API.

Getting started

Select this button to fork the API collection in Postman and follow the steps in this article to test.

Multivariate Anomaly Detector API

1. Select environment as MVAD.

   

2. Select Environment, paste your Anomaly Detector endpoint, key and dataSource url into the CURRENT VALUE column, select Save to let the variables take effect.

   

3. Select Collections, and select the first API - Create and train a model, then select Send.

   Note

   If your data is one CSV file, please set the dataSchema as OneTable, if your data is multiple CSV files in a folder, please set the dataSchema as MultiTable.

   

4. In the response of the first API, copy the modelId and paste it in the modelId in Environments, select Save. Then go to Collections, select Get model status, and select Send.

5. Select Batch Detection, and select Send. This API will trigger a synchronous inference task, and you should use the Get batch detection results API several times to get the status and the final results.

   

6. In the response, copy the resultId and paste it in the resultId in Environments, select Save. Then go to Collections, select Get batch detection results, and select Send.

   

7. For the rest of the APIs calls, select each and then select Send to test out their request and response.

   

Next Steps

• Create an Anomaly Detector resource
• Quickstart: Detect anomalies in your time series data using the Anomaly Detector