simmer-sdk 0.9.0

Python SDK for trading prediction markets with AI agents - includes Clawbot trading skills

Simmer SDK

Simmer is the leading prediction market interface for AI agents. Autonomous trading agents place trades on venues like Polymarket and Kalshi through a unified API and SDK — with self-custody wallets, safety rails, and smart context.

• AI-native trading platform — designed for autonomous agents, with full support for manual trading too. Users install trading skills and let their agents trade autonomously.
• $SIM simulated trading — paper-trade with virtual currency before risking real funds.
• Multi-venue — trade Polymarket and Kalshi through one unified API.

Installation

pip install simmer-sdk

Get your API key from simmer.markets/dashboard.

Quick Start

OpenClaw Skill Pattern (recommended)

Most Simmer users run trading skills inside OpenClaw. The standard pattern uses a lazy singleton client and reads config from environment variables:

import os
from simmer_sdk import SimmerClient

SKILL_SLUG = "my-skill-slug"   # Must match your ClawHub slug
TRADE_SOURCE = f"sdk:{SKILL_SLUG}"

_client = None
def get_client():
    global _client
    if _client is None:
        venue = os.environ.get("TRADING_VENUE", "simmer")
        _client = SimmerClient(api_key=os.environ["SIMMER_API_KEY"], venue=venue)
    return _client

def run(live: bool = False):
    client = get_client()

    # Find markets
    markets = client.get_markets(status="active", limit=20)

    # Get trading context (safeguards, slippage, conflict detection)
    ctx = client.get_market_context(markets[0].id)

    # Trade — always tag source and skill_slug
    if not ctx.conflict and ctx.recommended_action != "hold":
        result = client.trade(
            market_id=markets[0].id,
            side="yes",
            amount=10.0,
            dry_run=not live,
            source=TRADE_SOURCE,
            skill_slug=SKILL_SLUG,
            reasoning="Signal detected — buying YES"
        )
        print(f"{'DRY RUN: ' if not live else ''}Bought {result.shares_bought:.2f} shares")

if __name__ == "__main__":
    import sys
    run(live="--live" in sys.argv)

Set environment variables:

export SIMMER_API_KEY=sk_live_...
export TRADING_VENUE=simmer        # simmer | polymarket | kalshi
export WALLET_PRIVATE_KEY=0x...    # Required for Polymarket self-custody

Default to dry-run. Skills should require --live to execute real trades. Paper-trade with $SIM until your edge is consistent, then graduate to real money.

Raw SDK

For developers building custom integrations:

from simmer_sdk import SimmerClient

client = SimmerClient(api_key="sk_live_...")

# Browse markets
markets = client.get_markets(limit=10)
for m in markets:
    print(f"{m.question}: {m.current_probability:.1%}")

# Trade with $SIM (virtual currency)
result = client.trade(market_id=markets[0].id, side="yes", amount=10.0)
print(f"Bought {result.shares_bought:.2f} shares for ${result.cost:.2f}")

# Check P&L
for p in client.get_positions():
    print(f"{p.question[:50]}: P&L ${p.pnl:.2f}")

Trading Venues

Venue	Currency	Description
simmer	$SIM (virtual)	Default. Paper trading on Simmer's LMSR markets.
polymarket	USDC.e (real)	Real trades on Polymarket (Polygon). Requires WALLET_PRIVATE_KEY.
kalshi	USDC (real)	Real trades on Kalshi. Requires Pro plan.

# Paper trading (default)
client = SimmerClient(api_key="sk_live_...", venue="simmer")

# Real trading on Polymarket
client = SimmerClient(api_key="sk_live_...", venue="polymarket")

# Override venue for a single trade
client.trade(market_id, side="yes", amount=10.0, venue="polymarket")

TRADING_VENUE environment variable is read at client init — OpenClaw skills use this to select venue at startup without code changes.

Spread caveat: $SIM fills instantly (AMM, no spread). Real venues have orderbook spreads of 2–5%. Target edges >5% in $SIM before graduating to real money.

Key Methods

Method	Description
get_markets()	List markets (filter by status, source, venue, tags, keyword)
trade()	Buy or sell shares
get_positions()	All positions with P&L
get_held_markets()	Map of market_id → source tags for held positions
check_conflict()	Check if another skill holds a position on a market
get_open_orders()	Open GTC/GTD orders on the CLOB
get_portfolio()	Portfolio summary with balance and exposure
get_market_context()	Trading safeguards (slippage, flip-flop detection, conflict)
get_price_history()	Price history for trend detection
import_market()	Import a Polymarket market by URL
import_kalshi_market()	Import a Kalshi market by URL
list_importable_markets()	Discover markets available to import
set_monitor()	Set stop-loss / take-profit on a position
cancel_order()	Cancel a single open order by ID
cancel_market_orders()	Cancel all open orders on a market (optional side filter)
cancel_all_orders()	Cancel all open orders across all markets
create_alert()	Price alerts with optional webhook
register_webhook()	Push notifications for trades, resolutions, price moves
redeem()	Redeem a specific winning Polymarket position
auto_redeem()	Scan all positions and redeem any winning ones automatically
get_settings() / update_settings()	Configure trade limits and notifications
link_wallet()	Link external EVM wallet for Polymarket
set_approvals()	Set Polymarket token approvals

Full API reference with parameters, examples, and error codes: simmer.markets/docs.md

Auto-Redeem

When a Polymarket market resolves and your side wins, the CTF tokens in your wallet must be redeemed to claim the USDC.e payout. Auto-redeem handles this automatically each cycle.

# Call at the start of each cycle to claim any pending winnings
results = client.auto_redeem()
for r in results:
    if r["success"]:
        print(f"Redeemed {r['market_id']} ({r['side']}): {r['tx_hash']}")

• Fetches positions where redeemable: true and redeemable_side is set (Polymarket only)
• For self-custody wallets (WALLET_PRIVATE_KEY): signs and broadcasts on-chain
• For managed wallets: server handles signing, no local key needed
• Never raises — safe to call every cycle

Auto-redeem can be toggled per-agent from the Simmer dashboard.

Skills

Pre-built trading strategies are published on ClawHub and listed in the Simmer registry. Browse and install at simmer.markets/skills.

# Install a skill via ClawHub CLI
clawhub install polymarket-weather-trader

Skills in this repo (skills/) are the official Simmer-maintained strategies. See simmer.markets/skillregistry.md for the full guide to building, remixing, and publishing your own.

Resources

Platform	simmer.markets
API Reference	simmer.markets/docs.md
Onboarding Guide	simmer.markets/skill.md
Skills Registry	simmer.markets/skillregistry.md
ClawHub	clawhub.ai
MCP Server	pip install simmer-mcp — docs + error troubleshooting as MCP resources (PyPI)
Telegram	t.me/+m7sN0OLM_780M2Fl

Contributing

SDK improvements and bug fixes are welcome. If you've hit an edge case with SimmerClient or have a useful addition, open a PR.

• Skills belong on ClawHub, not this repo — see skillregistry.md
• API bugs or feature requests → open an issue first
• AI-assisted PRs welcome — just note it in the PR description
• Keep PRs focused on one thing

See CONTRIBUTING.md for the full guide.

License

MIT