# FilingFirehose

> Use this tool when you need to access real-time SEC EDGAR filings data, such as 8-K filings, activist investor filings, and ATM shelf registrations, to inform investment decisions or monitor market activity. FilingFirehose provides a JSON API with structured data and buried-event detection, allowing for rapid searching and retrieval of filings. Ideal for AI clients requiring timely and queryable regulatory filing data.

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

## Description

FilingFirehose provides a JSON API for SEC EDGAR filings, delivering structured data for 8-K filings with buried-event detection, Schedule 13D/G activist investor filings, and S-3/424B5 ATM shelf registrations. The MCP server exposes tools for searching and retrieving these filings within seconds of SEC publication, making regulatory filing data queryable from any MCP-compatible AI client.

## Trust

- **Trust score (0–1):** 0.63
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/filingfirehose)
- **Repository:** <https://github.com/jaablon/filingfirehose-python>

## 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": "filingfirehose"
    }
  }
}
```

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