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Cross-platform prediction market arbitrage

Rank theoretical cross-platform opportunities from likely equivalent Polymarket and Kalshi markets using return and match-confidence thresholds.

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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 estimated return:2
Minimum match confidence:80
Maximum opportunities:25

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 "Cross-platform prediction market arbitrage". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Cross-platform prediction market arbitrage" 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 estimated return, minimum match confidence, and more, to match your specific use case.

Receive the "Cross-platform prediction market arbitrage" 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 "Cross-platform prediction market arbitrage" task via API.

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Integrate "Cross-platform prediction market arbitrage" into your workflow

Connect "Cross-platform prediction market arbitrage" with 100+ integrations, or run it via API or MCP.

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