APIs

  • Anomaly Detector

    • v1.0

      The Anomaly Detection service detects anomalies automatically in time series data. It supports several functionalities, one is for detecting the whole series with model trained by the time series, another is detecting the last point with model trained by points before. With this service, business customers can discover incidents and establish a logic flow for root cause analysis. We also provide change point detection, which is another common scenario on time series analysis and service monitoring. Change point detection targets to discover tend changes in the time series. To ensure online service quality is one of the main reasons we developed this service. Our team is dedicated to continuing to improve the anomaly detection service to provide precise results.

    • v1.1

      Anomaly Detector is an AI service with a set of APIs, which enables you to monitor and detect anomalies in your time series data with little ML knowledge, either batch validation or real-time inference. It includes the following features:

      • Univariate Anomaly Detection - Detect different types of anomalies in single variable.
      • Multivariate Anomaly Detection - Detect different types of anomalies in multiple variables from your equipment or system.
    • v1.1-preview

      The Anomaly Detection service detects anomalies automatically in time series data. It supports several functionalities, one is for detecting anomalies in single time-series, including entire, last and change point detection. The other is detecting anomalies in multiple time-series. With univariate anomaly detection ability, business customers can discover incidents and establish a logic flow for root cause analysis. The multivariate anomaly detection APIs in Anomaly Detector analyze dependencies and inter-correlations between different signals. It enables customers to gather a group of related time-series and detect failures with a wholistic view. To ensure online service quality is one of the main reasons we developed this service. Our team is dedicated to continuing to improve the anomaly detection service to provide precise results.

      This Multivariate Anomaly Detection is currently available in:

      • East US - eastus.api.cognitive.microsoft.com
      • East US 2 - eastus2.api.cognitive.microsoft.com
      • South Central US - southcentralus.api.cognitive.microsoft.com
      • UK South - uksouth.api.cognitive.microsoft.com
      • West Europe - westeurope.api.cognitive.microsoft.com
      • West US 2 - westus2.api.cognitive.microsoft.com
    • v1.1-preview.1

      The Anomaly Detection service detects anomalies automatically in time series data. It supports several functionalities, one is for detecting anomalies in single time-series, including entire, last and change point detection. The other is detecting anomalies in multiple time-series. With univariate anomaly detection ability, business customers can discover incidents and establish a logic flow for root cause analysis. The multivariate anomaly detection APIs in Anomaly Detector analyze dependencies and inter-correlations between different signals. It enables customers to gather a group of related time-series and detect failures with a wholistic view. To ensure online service quality is one of the main reasons we developed this service. Our team is dedicated to continuing to improve the anomaly detection service to provide precise results.

      This Multivariate Anomaly Detection is currently available in:

      • East US - eastus.api.cognitive.microsoft.com
      • East US 2 - eastus2.api.cognitive.microsoft.com
      • South Central US - southcentralus.api.cognitive.microsoft.com
      • UK South - uksouth.api.cognitive.microsoft.com
      • West Europe - westeurope.api.cognitive.microsoft.com
      • West US 2 - westus2.api.cognitive.microsoft.com
    • v1.1-preview.2

      The Anomaly Detector service detects anomalies and trace root causes automatically in time series data. It supports several functionalities:

      • Detecting anomalies in single time-series, including entire, last and change point detection. With this univariate anomaly detection capability, business customers can discover incidents and establish a logic flow for root cause analysis.
      • Detecting anomalies in multiple time-series. This set of multivariate anomaly detection APIs in Anomaly Detector analyze dependencies and inter-correlation changes between different signals. It enables customers to gather a group of related time-series and detect failures in a system level.
      • Indicate root causes that contribute the most on an aggregated anomaly point. Accurate dimension can be drilled down for both one measure and multiple measures. Meaningful interpretation is also provided.

      To ensure online service quality is one of the main reasons we developed this service. Our team is dedicated to continuing to improve the Anomaly Detector service to provide precise results.

      This Univariate Anomaly Detection is currently available in:

      This Multivariate Anomaly Detection is currently available in:

      • East US - eastus.api.cognitive.microsoft.com
      • East US 2 - eastus2.api.cognitive.microsoft.com
      • South Central US - southcentralus.api.cognitive.microsoft.com
      • UK South - uksouth.api.cognitive.microsoft.com
      • West Europe - westeurope.api.cognitive.microsoft.com
      • West US 2 - westus2.api.cognitive.microsoft.com

      The Root Cause Analysis is currently available in:

      • West US 2 - westus2.api.cognitive.microsoft.com
      • Central US EUAP - ameuse2.api.cognitive.microsoft.com

  • AnomalyDetector.EE

    • v1.0

      Project "Gualala"

  • Autosuggest API - v7

    The Autosuggest API lets partners send a partial search query to Bing and get back a list of suggested queries that other users have searched on. In addition to including searches that other users have made, the list may include suggestions based on user intent. For example, if the query string is weather in Lo, the list will include relevant weather suggestions.

    Typically, you use this API to support an auto-suggest search box feature. For example, as the user types a query into the search box, you would call this API to populate a drop-down list of suggested query strings. If the user selects a query from the list, you would either send the user to the Bing search results page for the selected query or call the Bing Search API to get the search results and display the results yourself.

  • Unified Vision APIs Public Preview

    • 2022-10-12-preview
    • 2023-02-01-preview

      The Computer Vision API provides state-of-the-art algorithms to process images and return information. For example, it can be used to extract text using Read OCR, caption an image using descriptive natural language, detect objects, people, and more.

    • 2023-04-01-preview

      The Computer Vision API provides state-of-the-art algorithms to process images and return information. For example, it can be used to extract text using Read OCR, caption an image using descriptive natural language, detect objects, people, and more.