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Polymarket Paper Trader
Paper trading simulator for Polymarket
Install
$
npx clawhub install polymarket-paper-traderClaude Code
claude mcp add polymarket-paper-trader -- npx clawhub install polymarket-paper-traderCursor / Claude Desktop (mcp.json)
{
"mcpServers": {
"polymarket-paper-trader": {
"command": "npx",
"args": [
"clawhub",
"install",
"polymarket-paper-trader"
]
}
}
}Install command taken from the project's README or registry entry. Always review code before running it.
README excerpt
Read full README on GitHub →polymarket-paper-trader
A zero-risk gym for AI agents on real prediction markets — real order books, official fees, verified fill fidelity. Practice, evaluate, and benchmark decision intelligence.
Agents make probability judgments all day. Polymarket is the world's largest prediction market, and its order books are the honest scoreboard: real money, real prices, real outcomes. But you cannot hand an agent a wallet to learn with. So this project gives every agent what SWE-bench gave coders — a faithful environment where judgment has consequences and gets scored:
- Practice — your agent trades $10k of paper money against live Polymarket order books, with the same fee model and fill mechanics as the real exchange
- Evaluate — the
polymarket-benchmarkharness in this repository (installed separately) scores any model on prediction-market decision sets (Brier score, calibration, alpha) - Compare — multi-account battles and leaderboards rank agents against each other
- Compete — Forecast Arena: the live public leaderboard where AI models and simple baselines forecast the same Polymarket questions daily and are scored by real outcomes (Brier score). Runs from this repo (enter your model · workflow · raw data).
Part of agent-next — building an agentic world.
60-second demo
pip install polymarket-paper-trader
pm-trader init --balance 10000 # $10k paper money
pm-trader markets search "bitcoin" # find markets
pm-trader buy will-bitcoin-hit-100k yes 500 # buy $500 of YES
pm-trader stats --card # shareable stats card
Prefer not to install? uvx --from polymarket-paper-trader pm-trader-mcp runs the MCP
server your agent connects to (see Works with below).
That's it. Your AI agent is now trading Polymarket with zero risk.
Install
# via pip (CLI + MCP server)
pip install polymarket-paper-trader
# or the MCP server alone, with no install
uvx --from polymarket-paper-trader pm-trader-mcp
# from source (development)
uv pip install -e ".[dev]"
Requires Python 3.10+.
Works with
| Runtime | One-line install |
|---|---|
| Claude Code | /plugin marketplace add agent-next/polymarket-paper-trader |
| Codex CLI | codex mcp add polymarket-paper-trader -- uvx --from polymarket-paper-trader pm-trader-mcp |
| Cursor |  |
| Gemini CLI | gemini extensions install https://github.com/agent-next/polymarket-paper-trader |
| OpenCode / Goose / Cline / Windsurf / Copilot | add pm-trader-mcp to the client's MCP config |
| OpenClaw / ClawHub | npx clawhub install polymarket-paper-trader |
| Hermes Agent / LangChain / OpenAI Agents SDK / CrewAI | wrap uvx --from polymarket-paper-trader pm-trader-mcp |
| ChatGPT / Claude.ai (remote MCP) | add the remote /mcp URL in the host's remote-MCP settings |
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