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azure-ai-anomalydetector-javaPurpose, usage and source

Build anomaly detection applications with Azure AI Anomaly Detector SDK for Java. Use when implementing univariate/multivariate anomaly detection, time-series analysis, or AI-powered monitoring.

Source retrieved:

Source repository
microsoft/skills
SKILL.md
.github/plugins/azure-sdk-java/skills/azure-ai-anomalydetector-java/SKILL.md
Repository stars
3,157
Repository updated
2026-10-31
Categories
Cloud
Last collected

License: MIT

Source SKILL.md

Workflow excerpts are reading aids, not executable instructions from Codez. No third-party Skill was run to produce this page.

The purpose and workflow passages below are upstream material, organized and translated for reading. They are distinct from the separately labeled Codez editorial analysis.

What this Skill does

Build anomaly detection applications with Azure AI Anomaly Detector SDK for Java. Use when implementing univariate/multivariate anomaly detection, time-series analysis, or AI-powered monitoring.

How the upstream workflow works

Azure AI Anomaly Detector SDK for Java

Build anomaly detection applications using the Azure AI Anomaly Detector SDK for Java.

Upstream passage · L11 ↗

Univariate Anomaly Detection

Batch Detection: Analyze entire time series at once Streaming Detection: Real-time detection on latest data point

Upstream passage · L74 ↗

Multivariate Anomaly Detection

Detect anomalies across 300+ correlated signals Uses Graph Attention Network for inter-correlations

Upstream passage · L79 ↗

Requirements and setup

Upstream passage · xml ↗
<dependency>
  <groupId>com.azure</groupId>
  <artifactId>azure-ai-anomalydetector</artifactId>
  <version>3.0.0-beta.6</version>
</dependency>

Limits and quality checks

No separate limits passage was selected from this file. This does not mean the Skill is safe for every input or environment. Review the complete source and validate your own result.

Start with a safe trial

  1. Check the supported host and the repository installation instructions. Keep the Skill directory and its referenced scripts, assets and documentation together; SKILL.md alone may omit dependencies.
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  3. Try the source workflow in a disposable project or on a copy. Review operations that change files, remote services or billable resources before allowing them.
  4. Validate the output against the source quality checks and your own requirements. A successful trigger or a high repository Star count does not establish a correct result.

Skill format and directory specification ↗

Read further in the source

Translation and scope

This reading guide selects passages from the pinned upstream SKILL.md. Translation is assisted. It is not a complete manual or a claim of tested compatibility. Read the original and its referenced files before use.

This introduction refers to the pinned version below; current repository activity and collection time are shown separately.

Source retrieved
Source commit
00d66a64919edca5bca2c673373444e36a4b5461
Source SHA-256
e39cb5855a4e4240e037110b74abcc1b850e28761d95c668ac0568b64ca40d6e
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