Run agentic anomaly investigations with PyOD

---
name: run-agentic-anomaly-investigations-with-pyod-9b7170189377
slug: "run-agentic-anomaly-investigations-with-pyod"
description: "Use PyOD's agent skill or MCP server to turn natural-language anomaly detection requests into repeatable detector selection, fitting, scoring, and investigation workflows."
github_stars: 9854
verification: "security_reviewed"
source: "https://github.com/yzhao062/pyod"
author: "PyOD maintainers"
publisher_type: "individual"
category: "Monitoring & Alerts"
framework: "Multi-Framework"
tool_ecosystem:
  github_repo: "yzhao062/pyod"
  github_stars: 9854
---

# Run agentic anomaly investigations with PyOD

Use PyOD's agent skill or MCP server to turn natural-language anomaly detection requests into repeatable detector selection, fitting, scoring, and investigation workflows.

## Prerequisites

Python, pip, PyOD, optional MCP-compatible client

## Installation

Use the upstream install or setup path that matches your environment:
- pip install pyod
- pip install pyod[mcp]

Requirements and caveats from upstream:
- Python Outlier Detection (PyOD) 3
- PyOD 3 is the most comprehensive Python library for anomaly detection. Four pillars:
- # 2. Any MCP-compatible LLM — requires the optional mcp extra

Basic usage or getting-started notes:
- ^^^^^^^
- Core library (required for every activation path):
- .. code-block:: bash

- Source: https://github.com/yzhao062/pyod
- Extracted from upstream docs: https://raw.githubusercontent.com/yzhao062/pyod/HEAD/README.rst

## Documentation

- http://pyod.readthedocs.io

## Source

- [Agent Skill Exchange](https://agentskillexchange.com/skills/run-agentic-anomaly-investigations-with-pyod/)