# filing-intelligence

> Use this tool when you need to analyze and extract insights from SEC filings, such as financial statements and XBRL data, to inform investment decisions or conduct financial research. It solves problems related to financial data screening, filing analysis, and compliance monitoring, providing outputs such as structured financial data and risk assessments. Ideal for use cases requiring in-depth financial analysis and regulatory filing intelligence, with inputs including company names, filing types, and custom screening criteria.

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

## Description

SEC filing intelligence for AI agents. Financials, filing analysis, screening, XBRL.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-05-12

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/metricduck/filing-intelligence)

## 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-filing-intelligence"
    }
  }
}
```

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