Prediction Market AI Agent

Prediction Market AI Agent for Kalshi and Polymarket

Find markets, monitor odds, and turn source data into a briefing. Build a Kalshi or Polymarket workflow in plain English, with account actions you configure.

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Prediction Market AI Agent

Follow the markets you care about

Build a workflow that finds relevant markets on Kalshi and Polymarket, reads current data, and sends a briefing. Add your own conditions and account actions when you are ready to review them.

Watch the events you know

Follow the sports, elections, and macro prints you already track, priced live as contracts on Kalshi and Polymarket.

Add source context

Combine market data with news and other sources. Keep the observations and model interpretation visible in your report.

Catch the odds moving

Check current market prices on your chosen schedule and keep the source timestamp with each observation.

Control each action

Set the conditions a workflow must pass before a separate order node can act on your connected account.

Prediction markets in one line

An event contract settles according to its resolution rules. Review the wording and source data before comparing outcomes.

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Events

Elections, sports, macro prints, and crypto milestones, priced as yes or no contracts.

Probabilities

Inspect the market's quoted prices and keep any model estimate separate from observed data.

Execution

A separately configured account action, with explicit conditions and a recorded result.

How a prediction market AI agent works

01
Discover markets
Use the Kalshi and Polymarket data nodes to browse active markets or search for a topic, with the filters and result limit you choose.
02
Add context
Combine market data with news and other sources so each observation arrives with its source and timestamp.
03
Write a briefing
Let the models you choose read the data and write a briefing that keeps quoted prices separate from interpretation. The Polymarket node docs show what each output field contains.
04
Connect an order node (optional)
Add a separate order node on a connected account, with explicit conditions it must pass and a recorded result for every order.

For a wider look at the category, read the guide to prediction market automation tools and the article on AI agents in prediction markets.

Tracking markets by hand vs a NickAI workflow

Task	By hand	NickAI workflow
Market discovery	By hand: Browse each venue and search for markets on topics you follow.	NickAI workflow: Kalshi and Polymarket data nodes list matching markets with your filters and result limit.
Price checks on a schedule	By hand: Open each market and note the current price when you check it.	NickAI workflow: The workflow reads current prices on the schedule you set and adds them to the run output.
Source timestamps	By hand: Record the time of each observation yourself.	NickAI workflow: Each node output keeps the source timestamp next to the observation.
Model interpretation	By hand: Read the data and write your own notes.	NickAI workflow: The models you choose read the data and write a briefing, kept separate from the quoted data.
Order placement	By hand: Place each order yourself in the venue interface.	NickAI workflow: An optional order node acts on a connected account only when your explicit conditions pass, and records the result.

Try a read-only Polymarket briefing

Browse active markets with a small result limit, or search for a topic you follow.
Inspect the market question, condition ID, outcome tokens, and source timestamp in the data output.
Format a briefing that separates quoted data from interpretation, then review a manual run before scheduling.

Start with the Polymarket Signal Scanner design or inspect the published Prediction Market Edge Report template. The data-node guide includes a runnable public API request and explains how data retrieval differs from an order.

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Chat with Nick, start from templates, clone community workflows, or build from scratch: four ways to launch your first agent.

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Explore workflows their authors chose to share. Review the steps and adapt them to your own market and settings.

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AllTriggersData sourcesLogicActions

Time basedRun your workflow on a schedule

Price DataReal-time and historical asset prices

Order ExecutionPlace and manage orders automatically

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.

Yes. Build a workflow with market data, analysis, and notifications. The Polymarket data node reads information; an order node is a separate action.

Use Kalshi and Polymarket data nodes to discover markets and retrieve source data. Review the selected filters, identifiers, and timestamps in the node output.

No. Model selection and consensus rules are choices in your workflow. Agreement does not establish an accurate forecast; keep the sources and individual responses available for review.

Configure a separate order node with the required account connection and conditions. Check venue access, order settings, and result handling for that account before enabling the workflow.

Describe the workflow in plain language and Nick builds a draft you can inspect. Start with a read-only market briefing and review a manual run before choosing a schedule.

A prediction market AI agent is a workflow that reads market data from venues like Kalshi and Polymarket, adds context from other sources, and uses the models you choose to write a briefing. On NickAI, Nick builds that workflow from a plain-language description and every step stays visible for review.

Yes, through a separately configured order node on a connected Polymarket account. The order node acts only when the explicit conditions you set are met, and each order result is recorded in the run output.

Yes. NickAI lets you describe a prediction market workflow in plain English, and Nick builds a draft with data, analysis, and notification nodes that you can inspect and edit before running it.

NickAI reads Kalshi and Polymarket through dedicated data nodes. Each node outputs market questions, identifiers, prices, and source timestamps you can use in the rest of the workflow.