# Valuein

> Use this tool when you need to access and analyze SEC EDGAR data for financial research and modeling, providing structured access to over 12 million filings and 105 million raw financial facts. It solves problems related to financial data retrieval, company research, and financial modeling by offering search functionality, financial fundamentals, and ratios. Use Valuein to retrieve data on companies by ticker, name, or CIK, with outputs including financial data, DCF model inputs, and direct SEC filing links.

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

## Description

Valuein provides structured access to SEC EDGAR data covering over 12 million filings and 105 million raw financial facts from 1990 to present. Agents can search companies by ticker, name, or CIK, retrieve financial fundamentals and ratios, access DCF model inputs, and fetch direct SEC filing links. A free tier covers S&P 500 companies with five-year history; a Pro plan at $200 per month provides the full US universe with survivorship-bias-free, point-in-time data.

## Trust

- **Trust score (0–1):** 0.61
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-02

## Source

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

## 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": "valuein"
    }
  }
}
```

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