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Prediction market opportunity scanner

Scan public Polymarket and Kalshi binary markets for qualifying theoretical opportunities suitable for scheduled downstream workflows.

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Polymarket + Kalshi Arbitrage Finder
Polymarket + Kalshi Arbitrage Findermaximedupre/prediction-market-arbitrage-finder
Opportunity ID
Estimated return
Estimated profit per payout
Raw return
+22 fields
Text
Number
Boolean
List
Object

Input

Minimum price spread:1
Minimum estimated return:1
Minimum match confidence:70
Maximum opportunities:100

Output fields

Opportunity ID
Estimated return
Estimated profit per payout
Raw return
Raw profit per payout
Total cost
Price spread
Confidence
Question
YES price
NO price
Close time
Liquidity
Recent volume
Market URL
Question
YES price
NO price
Close time
Liquidity
Recent volume
Market URL
Recommended legs
Match reasons
Review warnings
Observed at

How it works

Sign up on Apify or log in

The Polymarket + Kalshi Arbitrage Finder Actor is ready to run with the inputs already set for "Prediction market opportunity scanner". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Prediction market opportunity scanner" task

The Polymarket + Kalshi Arbitrage Finder Actor will start running based on the input automatically. You can also change all the input fields, like minimum price spread, minimum estimated return, and more, to match your specific use case.

Receive the "Prediction market opportunity scanner" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as opportunity id, estimated return, estimated profit per payout, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Prediction market opportunity scanner" task via API.

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Integrate "Prediction market opportunity scanner" into your workflow

Connect "Prediction market opportunity scanner" with 100+ integrations, or run it via API or MCP.

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