> ## Documentation Index
> Fetch the complete documentation index at: https://arka-agent-mintlify-f21cea86.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Arka Play benchmarks

> Use symbolic-rule games to benchmark local model outputs.

Use symbolic-rule games to benchmark local model outputs:

```bash theme={null}
pip install python-chess
arka play chess --moves e2e4 e7e5 g1f3 b8c6 --json
```

Arka validates every move against the chess rules, reports illegal moves and
accuracy, and returns the final FEN. The same harness can be extended with
other deterministic games; an illegal model action never changes the board.


## Related topics

- [AI agent guide — use Arka over MCP](/guides/ai-agents.md)
- [MCP integration for Cursor and Claude](/guides/mcp.md)
- [LLM orchestration with multi-provider failover](/concepts/llm.md)
- [How Arka compares to other agents](/concepts/comparison.md)
- [Open URL in browser](/guides/open-url.md)


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