# LLMQuant Data

> Use this tool when you need to access a vast array of financial data, including cryptocurrency, equities, and company fundamentals, to inform AI-driven decisions. It solves problems related to data sourcing and integration, providing a unified interface to eight distinct data universes. With an API key, AI agents can input queries and receive relevant financial data outputs, making it ideal for applications requiring real-time market insights and analysis.

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

## Description

Connects AI agents to LLMQuant Data's financial data platform, covering eight data universes: cryptocurrency, equities, macro indicators, research papers, SEC filings, news, company fundamentals, and a Quant Wiki. Uses a credit-based model with 100 free credits monthly during beta. Requires an API key from llmquantdata.com. Published as an npm package.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

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

## Source

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

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