# valuein

> Use this tool when you need to provide your AI agent with accurate and reliable SEC fundamentals and smart-money data to make informed investment decisions. Valuein offers 30 years of point-in-time data, including standardized fundamentals and institutional smart-money signals, with traceable sources and zero look-ahead bias. It integrates with MCP-compatible agents through a single endpoint, Python SDK, or bulk Parquet API, making it suitable for backtesting, research, and compliance-sensitive applications.

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

## Description

# Valuein

**Audit-grade SEC fundamentals & smart-money data for AI agents**

> Make investment calls your agent can defend — 30 years of point-in-time SEC fundamentals and institutional smart-money flows, every number traceable to the filing it came from.

Valuein gives any MCP-compatible agent — Claude, Cursor, ChatGPT, Codex — the data a research analyst needs to reach a conclusion *and* defend it. One endpoint, two datasets, zero hand-waving.

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## What your agent pulls

**Standardized fundamentals**

- 19,000+ active *and* delisted US companies, back to 1993
- Income statement, balance sheet, cash flow, ratios, and valuation
- Built-in reverse-DCF and forensic-accounting checks

**Institutional smart-money signals**

- Insider buying & selling (Forms 3 / 4 / 5 / 144)
- 13F manager portfolios
- Blockholder moves
- Net-flow direction

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## Why the numbers hold up

- **Point-in-time correct** — zero look-ahead bias in your backtests
- **Survivorship-bias free** — delisted names stay in the record, so history isn't quietly rewritten
- **One-click lineage** — every figure traces straight back to its source SEC filing

The payoff: an answer that survives compliance review instead of needing re-verification.

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## One install, three ways in

The MCP server is the distribution channel. Install once, and the **same token** unlocks:

1. The **MCP server** — for your agent
2. The **Python SDK** — for your notebooks and pipelines
3. The **bulk Parquet API** — for everything at scale

…all at your tier.

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**Free tier. No credit card.**

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/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-valuein"
    }
  }
}
```

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