# Quadratik.AI

> Use this tool when you need to access and leverage vast amounts of validated global contact and company data to drive business growth. Quadratik.AI solves data limitations and inaccuracies by providing 100B+ data points with no caps, ideal for high-growth teams. It takes in queries and outputs actionable data insights, making it perfect for use cases requiring reliable and extensive B2B data architecture.

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

## Description

The B2B data architecture for high‑growth teams.
Leverage 100B+ validated global contact and company data points—with 0 data caps.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-05-13

## Source

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

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