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Polymarket has selected Chainalysis to help build an onchain market integrity system for its prediction market platform, pairing blockchain analytics with new monitoring tools designed to detect fraud, manipulation and insider-trading patterns.
 
The agreement spans Chainalysis investigative tools, security products, data analytics and professional services, including a bespoke anomaly detection model built specifically around prediction-market activity.  

Prediction markets are becoming more visible as real-time information venues, but that visibility also raises a harder question around trust. Polymarket operates fully onchain, which means every trade, position and settlement is recorded on a public blockchain. 

The company is now trying to turn that transparency into an enforcement advantage by using traceable market data to surface suspicious behaviour and support regulatory or law-enforcement inquiries with blockchain-verified evidence.
  
The Chainalysis system will sit on top of Polymarket’s existing monitoring process and is designed to flag patterns that may be consistent with insider knowledge. It will also support threat prevention, complex investigations and training for Polymarket’s team as detection methods evolve. For a platform built around public event markets, that kind of infrastructure is becoming more important as trading volumes, media attention and institutional interest continue to grow. 
 
Polymarket founder and CEO Shayne Coplan said the platform was built onchain because transparency matters, adding that the Chainalysis partnership brings the monitoring and enforcement infrastructure needed to support that standard. Chainalysis co-founder and CEO Jonathan Levin said blockchain-based markets offer a level of transparency traditional markets cannot match, and that pairing that openness with stronger data tools could raise the bar for market integrity. 
 
For prediction markets, the next phase may depend as much on credibility as product growth. If users, media outlets and institutions are going to treat market prices as meaningful signals, platforms will need to show that those markets can be monitored, investigated and defended with the same seriousness as more established trading venues.  

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