Datadog Anomaly Detection Agent 2

---
name: "Datadog Anomaly Detection Agent"
slug: "datadog-anomaly-detection-agent-2"
description: "Monitors Datadog metric streams using the Datadog API v2 and applies ML-based anomaly detection to alert on infrastructure drift. Integrates with PagerDuty and Slack webhooks for multi-channel incident routing."
github_stars: 791
verification: "security_reviewed"
source: "https://github.com/DataDog/dd-trace-js"
category: "Monitoring & Alerts"
framework: "OpenClaw"
tool_ecosystem:
  github_repo: "datadog/dd-trace-js"
  github_stars: 791
  npm_package: "dd-trace"
  npm_weekly_downloads: 6596660
---

# Datadog Anomaly Detection Agent

Monitors Datadog metric streams using the Datadog API v2 and applies ML-based anomaly detection to alert on infrastructure drift. Integrates with PagerDuty and Slack webhooks for multi-channel incident routing.

## Installation

Use the upstream install or setup path that matches your environment:
- $ npm install dd-trace
- $ yarn add dd-trace
- $ npm install dd-trace@4 # or whatever version you need
- $ yarn add dd-trace@4 # or whatever version you need

Requirements and caveats from upstream:
- # dd-trace: Node.js APM Tracer Library
- dd-trace is an npm package that you can install in your Node.js application to capture APM (Application Performance Monitoring) data. In Datadog terminology this library is called a Tracer. This data is then sent off...
- [Tracing Node.js Applications](https://docs.datadoghq.com/tracing/languages/nodejs/) - most project documentation, including setup instructions

Basic usage or getting-started notes:
- [API Documentation](https://datadog.github.io/dd-trace-js) - method signatures, plugin list, and some usage examples

- Source: https://github.com/DataDog/dd-trace-js
- Extracted from upstream docs: https://raw.githubusercontent.com/DataDog/dd-trace-js/HEAD/README.md

## Source

- [Agent Skill Exchange](https://agentskillexchange.com/skills/datadog-anomaly-detection-agent-2/)