# EDGAR

> Use this tool when you need to access and analyze SEC filings, such as financial data and insider transactions, to inform investment decisions or monitor company performance. EDGAR provides company resolution, filing discovery, and data extraction capabilities, with inputs including company names and filing types, and outputs including normalized financial data and transaction records. Ideal for use cases requiring compliant and efficient access to SEC EDGAR data, such as financial analysis and research.

Canonical page: https://skillsregistry.net/skills/dilane-kamga-edgar  
JSON: https://api.skillsregistry.net/v1/skills/dilane-kamga-edgar

## Description

Provides AI agents with access to the SEC EDGAR filing system through tools for company resolution, filing discovery, financial data extraction via XBRL normalization, insider transaction tracking via Form 4, and section-by-section filing comparisons. Compliant with SEC EDGAR's fair access rate limiting requirements.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/dilane-kamga-edgar)
- **Repository:** <https://github.com/dilane-kamga/edgar-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": "dilane-kamga-edgar"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dilane-kamga-edgar` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dilane-kamga-edgar/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