# MetricDuck

> Use this tool when you need to access comprehensive financial data and metrics for US public companies, solving problems such as investment research, financial analysis, and due diligence. MetricDuck takes in company names or ticker symbols as input and outputs 300+ pre-computed financial metrics, historical data, and real-time filing alerts. It is ideal for use cases requiring accurate and verified financial data, such as investment decisions, financial modeling, and research.

Canonical page: https://skillsregistry.net/skills/metricduck  
JSON: https://api.skillsregistry.net/v1/skills/metricduck

## Description

MetricDuck provides comprehensive financial data sourced directly from SEC Edgar filings. The service offers 300+ pre-computed financial metrics for 5,000+ US public companies with 7 years of historical data. Features include real-time filing alerts, AI-powered earnings insights, and tools for analysis including income statements, balance sheets, cash flow statements, and DCF valuation models. All data links directly to source filings for verification.

## Trust

- **Trust score (0–1):** 0.58
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/metricduck)
- **Repository:** <https://github.com/metric-duck/mcp-server>

## 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": "metricduck"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/metricduck` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/metricduck/pull`

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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