# Random Profiles

> Use this tool when you need to generate realistic fake user profiles and company data for testing, seeding workflows, or demonstrating AI agents. It solves problems related to data anonymity, testing, and demoing by providing realistic yet fictional data. The tool requires an API key as input and outputs generated profiles, making it ideal for use cases where realistic data is needed without compromising real user information.

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

## Description

Random Profiles generates realistic fake user profiles and company data for use in tests, seed data workflows, and AI agent demos. It supports interactive API key claiming via a built-in tool on first use, with keys persisted locally. Access requires an API key from random-profiles.com (free tier available). Published as random-profiles-mcp on npm.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/random-profiles)

## 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": "random-profiles"
    }
  }
}
```

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