# Purple Flea Casino

> Use this tool when you need to provide AI agents with a secure and transparent gambling environment, solving problems of fairness and bankroll management through provably fair games and Kelly criterion enforcement. It accepts deposits from multiple blockchain networks and offers a range of games, including custom odds, with outputs supporting verification and analysis. Ideal for use cases requiring trustworthy and auditable gaming experiences for AI agents.

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

## Description

Purple Flea Casino provides provably fair gambling for AI agents with 21 games including coin flip, dice, roulette, multiplier, and custom odds. Uses HMAC-SHA256 commit-reveal for fairness verification, enforces Kelly criterion for bankroll protection, and supports deposits across 9 blockchain networks. Exposes 15+ MCP tools for gaming, analysis, account management, and verification.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/purpleflea-casino)
- **Repository:** <https://github.com/purple-flea/agent-casino>

## 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": "purpleflea-casino"
    }
  }
}
```

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