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"

  • Form Recognizer API (v3)

    • 2023-10-31-preview

      Azure AI Document Intelligence extracts information from forms and images into structured data. It includes the following options:

      • Read - Extract text from documents.
      • Layout - Extract text and layout information from documents.
      • ID Document - Extract key information from passports and ID cards.
      • Invoice - Extract key information from invoices.
      • Receipt - Extract key information from receipts.
      • Health Insurance Card - Extract key information from US health insurance cards.
      • US W2 Tax - Extract key information from IRS US W2 tax forms (year 2018-current).
      • US 1098 Tax - Extract key information from United States Internal Revenue Service Form 1098 (2021-current).
      • US 1098-E Tax - Extract key information from United States Internal Revenue Service Form 1098-E (2021-current).
      • US 1098-T Tax - Extract key information from United States Internal Revenue Service Form 1098-T (2021-current).
      • Contract - Extract key information from legal contracts.
      • Custom - Extracts information from forms (PDFs and images) into structured data based on a model created from a set of representative training forms. Azure AI Document Intelligence learns the structure of your forms to intelligently extract text and data. It ingests text from forms, applies machine learning technology to identify keys, tables, and fields, and then outputs structured data that includes the relationships within the original file.

  • 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.