In this comprehensive Simmer Markets review, we explore a platform that completely automates your prediction market trades by letting AI agents trade for you. Instead of manually staring at order books waiting for news to drop, you deploy a bot that executes trades 24/7. While the tool is inherently technical – operating as an API and Python SDK that aggregates Polymarket and Kalshi, the core benefit is structural automation. You connect a wallet, run your agent, and let it act instantly based on custom logic or published skills. It essentially gives your trading strategy hands, allowing you to participate in markets at speeds human traders cannot replicate.
📍 New to this space? Start with our guide on what prediction markets are.
- Deploy trading logic: Write custom Python scripts to scan markets and execute trades instantly without human input.
- Test safely: Run your strategy in dry-run mode using virtual SIM tokens before risking real USDC capital.
- Publish skills: Share your risk management or selection logic to earn a fee share on the volume generated.
- Monitor leaderboards: Track your agent against public competitors based on win rate and total profit metrics.
Use cases
The high-frequency arbitrageur Arbitrage
Useful for a trader tracking price discrepancies between Polymarket and Kalshi. The unified SDK allows the agent to execute simultaneous cross-venue trades within seconds when spreads widen.
The quantitative researcher Research
Useful for developers with deep predictive models who lack blockchain execution code. They install the tool to handle wallet signing and API routing, keeping their focus entirely on generating profitable alpha.
The strategy publisher Publishing
Useful for a quant who wants to monetize their logic without risking their own capital. They package their model as a remixable skill and earn direct USD payouts from other users trading with their code.
Pros and Cons
- Cross-platform SDKOne clean, documented interface for both Polymarket and Kalshi.
- Safe dry-run testingTrial strategies with virtual tokens on real data before risking funds.
- Earn from your strategiesPublish winning logic and collect real USD from the community.
- Direct market dataFast-resolving feeds stream straight to your agent, no scraping.
- Non-custodial by designPrivate keys stay entirely under your control.
- Python requiredSolid programming skills needed to configure and deploy agents.
- Noisy notificationsDashboard alerts feel overwhelming and poorly filtered.
- Slight routing latencyThird-party API adds minor delay vs direct Polygon node access.
- Small communityUser base is still tiny next to established terminals.
- No deep liquidity toolsLacks native analysis for thin, low-volume markets.
Trust and credibility
Spartan Labs launched this tool in early 2026. We classify it as an emerging product. The team operates publicly out of Singapore and maintains an open-source GitHub repository and official documentation for the SDK. This transparency provides a strong trust signal for developers handling private keys. Early adopters actively discuss strategies and share feedback on X and Telegram. The biggest trust gap remains user-side execution – a poorly configured local environment risks draining your own self-custody wallet. Always test your scripts locally before providing direct access to mainnet funds.
Simmer x World Cup 2026 is live 🏆
— Simmer.Markets (@simmer_markets) June 10, 2026
Describe any trading strategy in plain English, or just paste an X thread. Simmer turns it into a runnable skill for your agent.
The World Cup is the arena.
Our first featured skill: the Worldcup Shock Ladder. It fades panic-driven price… pic.twitter.com/05Ai1pjbZP
Automation
📍 Compare this to other automated options in our tools directory.
Frequently asked questions
It is an API and SDK allowing AI agents to trade autonomously on platforms like Polymarket and Kalshi.
Yes. You need a solid understanding of Python to integrate the SDK, configure your agent, and deploy profitable logic.
The tool features a dry-run environment. Your agent executes simulated trades using virtual SIM tokens against live market data.
Yes. If you package your logic as a remixable skill, you earn a percentage of the volume generated by that code.
No. It uses a non-custodial model. You maintain complete control of your private keys locally on your own machine.
Your agent simply stops placing new orders. Your existing positions remain safe and active on the underlying blockchain.