# market-microstructure-manipulation-mcp

> market-microstructure-manipulation-mcp — apifyforge-market-microstructure-manipulation-mcp. Use this tool when you need to analyze and detect manipulation in market microstructures, leveraging an MCP server that integrates 14 financial data actors in parallel to identify potential irregularities. It solves problems related to market transparency and fairness, providing insights into suspicious trading activities. Ideal for use cases requiring real-time financial data analysis and anomaly detection, with inputs including financial datasets and outputs comprising manipulation detection alerts and analysis reports.

Canonical page: https://skillsregistry.net/skills/apifyforge-market-microstructure-manipulation-mcp  
JSON: https://api.skillsregistry.net/v1/skills/apifyforge-market-microstructure-manipulation-mcp

## Description

Market microstructure analysis and manipulation detection via an MCP server that orchestrates 14 financial data actors in parallel.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/apifyforge/market-microstructure-manipulation-mcp)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "apifyforge-market-microstructure-manipulation-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/apifyforge-market-microstructure-manipulation-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/apifyforge-market-microstructure-manipulation-mcp/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt