Azure AI Anomaly Detector

Azure AI Anomaly Detector is a managed REST API service that enables monitoring and detection of anomalies in time series data without requiring machine learning expertise. Supports univariate batch and streaming detection, multivariate detection using Graph Attention Networks for up to 300 correlated signals, and change-point detection. The service is being retired on 1 October 2026 in favor of Microsoft Fabric real-time intelligence.

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API entry from apis.yml

apis.yml Raw ↑
name: Azure AI Anomaly Detector
description: Azure AI Anomaly Detector is a managed REST API service that enables monitoring and detection
  of anomalies in time series data without requiring machine learning expertise. Supports univariate batch
  and streaming detection, multivariate detection using Graph Attention Networks for up to 300 correlated
  signals, and change-point detection. The service is being retired on 1 October 2026 in favor of Microsoft
  Fabric real-time intelligence.
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
humanURL: https://learn.microsoft.com/en-us/azure/ai-services/anomaly-detector/overview
baseURL: https://api.cognitive.microsoft.com
tags:
- Anomaly Detection
- Azure
- Machine-Learning
- Microsoft
- Multivariate
- Time Series
- Univariate
tags_raw:
- Anomaly Detection
- Azure
- Machine Learning
- Microsoft
- Multivariate
- Time Series
- Univariate
properties:
- type: Documentation
  url: https://learn.microsoft.com/en-us/azure/ai-services/anomaly-detector/overview
- type: APIReference
  url: https://learn.microsoft.com/en-us/rest/api/anomalydetector/
- type: GettingStarted
  url: https://learn.microsoft.com/en-us/azure/ai-services/anomaly-detector/quickstarts/client-libraries
- type: Tutorials
  url: https://learn.microsoft.com/en-us/azure/ai-services/anomaly-detector/tutorials/batch-anomaly-detection-powerbi
- type: GitHubRepository
  url: https://github.com/microsoft/anomaly-detector
contact:
- FN: Microsoft Azure Support
  url: https://azure.microsoft.com/en-us/support/