Prediction Market AI Agent
AI Agents for Prediction Markets
Build agents that estimate the odds on real-world events and trade the gap against the market, across Kalshi and Polymarket, with no code.
1,000 credits. No card. No time limit.
Prediction Market AI Agent
Turn a read on an event into a position
Point an agent at the events you already follow. It estimates each outcome, watches the market's implied odds on Kalshi and Polymarket, and acts the moment your number and the price disagree.
Watch the events you know
Follow the sports, elections, and macro prints you already track, priced live as contracts on Kalshi and Polymarket.
Price the outcome yourself
Models turn your read on an event into a probability, one number you can hold up against the market line.
Catch the odds moving
See a probability jump the moment news lands, in the window before the market has finished repricing it.
Trade only your edge
Fire when your estimate clears the market price plus fees, and stay flat when the gap is not worth it.
Prediction markets in one line
A contract pays out on whether an event happens, so the whole job is estimating the odds better than the crowd and acting when you do.
Get started nowEvents
Elections, sports, macro prints, and crypto milestones, priced as yes or no contracts.
01Probabilities
Your estimate against the market's implied odds, with the gap between them as the edge.
02Execution
A position taken only when the gap clears cost, then held to the settle.
03Create your agent, the way you want
Chat with Nick, start from proven templates, clone community workflows, or build from scratch: four ways to launch your first agent.
Create my agentOkay, let’s build your trading agent
I’ll set up the triggers, conditions, and execution logic for you.
Nick is working…Chat with Nick
Describe your strategy in plain language. Nick converts it into a complete agent: signals, rules, and automated execution. No code, no complexity.
Start with Templates
Choose a proven strategy template and customize assets, risk limits, timing, and triggers. Skip the setup and deploy in minutes.
created by whale_watcher
Whale Alert Trader
TradingMonitors large wallet movements and exchange flows in real time. Trades when whales accumulate or distribute.
Clone from Community
Discover what successful traders built. Clone their agents, see how they work, and adapt their strategies to your market and risk settings.
Build from Scratch
Design your agent step by step with visual blocks. Fine-tune monitoring, AI analysis, and execution, with complete control over every node.
A contract settles to yes or no at a known event, so its price is really a probability, not a trend. The edge comes from estimating that probability better than the market rather than riding momentum. Nick agents are built around that: model the outcome, compare it to the line, act on the gap.
Agents read Kalshi and Polymarket for the markets themselves, and pull live context from Nick's data nodes: news feeds, on-chain activity, price data, and social signals. That means the agent reasons over the same inputs a desk would, not just the current odds.
It runs your probability estimate, or several models in consensus, against the market's implied odds and only takes the trade when the gap clears fees and slippage. That is the information-gain requirement: no measurable edge, no position.
Yes. Event contracts resolve at a fixed time, and the agent watches its position all the way there, overnight included, applying the exit and risk rules you set instead of needing you at the screen when the event lands.
No. Describe the event thesis in plain language and Nick builds the agent, or start from a prediction-market template and adjust the markets, the edge threshold, and the size. Every path is no-code, and every plan includes paper trading with $100,000 in simulated capital so you can prove the thesis first.