Detection modes for anomaly detector

ZhuJode 71 Reputation points

What are the detection modes of the Azure anomaly detector and how do we use the URI to access them?

Azure AI services
Azure AI services
A group of Azure services, SDKs, and APIs designed to make apps more intelligent, engaging, and discoverable.
2,336 questions
0 comments No comments
{count} votes

Accepted answer
  1. Monalla-MSFT 11,396 Reputation points

    @ZhuJode - Thanks for reaching out.

    There are two types of Azure Anomaly Detection modes :

    1. 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:


    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.

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


    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.

    Please go through this document for more reference : identify-anomalies

    Hope this helps.


    If the above response helped, please feel free to "Accept as Answer" and "upvote" the same so it can be beneficial to the community.

    0 comments No comments

0 additional answers

Sort by: Most helpful