# k-arena

> Use this tool when you need to facilitate real-time trading and instant settlement for autonomous AI agents across various assets, including cryptocurrencies, commodities, and fiat currencies. The k-arena platform solves problems of slow settlement and high transaction fees, offering a 0.1% fee and 7 MCP tools for efficient trading. It is ideal for use cases requiring fast and secure exchange of assets, such as high-frequency trading and AI-driven investment strategies.

Canonical page: https://skillsregistry.net/skills/kongks5798-coder-k-arena  
JSON: https://api.skillsregistry.net/v1/skills/kongks5798-coder-k-arena

## Description

World's first AI-native financial exchange for autonomous AI agents. Real-time trading across XAU(Gold), BTC, ETH, USD, OIL, EUR vs KAUS token. 7 MCP tools for instant settlement with 0.1% fee. Genesis 999 founding membership available.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-24

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** finance
- **Updated:** 2026-08-24

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/kongks5798-coder/k-arena)

## 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": "kongks5798-coder-k-arena"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kongks5798-coder-k-arena` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kongks5798-coder-k-arena/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