# Unquant

> Unquant — ai-unquant-unquant. Use this tool when you need to analyze financial data and research market trends, company performance, news, macroeconomic indicators, and US Congress activities. It provides a comprehensive platform for retrieving and processing financial information, solving problems related to investment decisions, risk assessment, and market monitoring. The tool accepts various financial queries as inputs and outputs relevant data, insights, and research findings, making it ideal for use in financial analysis, research, and decision-making contexts.

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

## Description

Financial data MCP for market, company, news, macro, and US Congress research.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 2.16.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.unquant%2Funquant)

## Use it

MCP endpoint published by the skill: `https://unquant.ai/mcp`

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": "ai-unquant-unquant"
    }
  }
}
```

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