Prediction markets are drawing fresh scrutiny as they grow more mainstream, and one of the industry’s biggest platforms is turning to blockchain intelligence to help police abuse. According to Bloomberg, Polymarket is partnering with Chainalysis, the crypto compliance and analytics firm led by founder and CEO Jonathan Levin, as regulators and market observers focus more closely on whether traders are using nonpublic information to gain an edge.
The move comes as prediction markets — platforms where users trade contracts tied to real-world outcomes such as elections, economic data releases or policy decisions — continue to expand beyond their early niche audience. Advocates say these markets can produce useful signals by aggregating what traders believe is most likely to happen. Critics counter that, because many contracts involve events with limited public information, the line between informed forecasting and improper insider trading can be difficult to define.
Levin, speaking on Bloomberg Crypto, discussed the challenge of tracking suspicious activity on platforms like Polymarket, which operate in a fast-moving and often decentralized environment. By working with Chainalysis, Polymarket is seeking better tools to identify unusual trading patterns and strengthen compliance at a time when prediction markets are under increased pressure to prove they are more than just another form of betting.
The issue matters because prediction markets are becoming more visible to both retail users and institutional investors. Bloomberg’s opinion newsletter on Tuesday described them as “the new public markets,” reflecting the idea that these platforms are increasingly being treated as real-time sources of information about politics, finance and culture. But that growing relevance also makes their weaknesses more consequential, especially if traders can profit from information that other participants do not have.
Regulators have already signaled concern about manipulation, insider trading and the broader question of whether prediction markets should be treated as a legitimate forecasting tool or a regulated gambling product. That debate is likely to intensify as platforms expand and try to win credibility with compliance partnerships, surveillance systems and other controls meant to detect suspicious activity.
For now, the Polymarket-Chainalysis deal underscores a key challenge for the sector: if prediction markets are to become trusted financial information tools, they will need to show they can police themselves. The partnership suggests the industry is taking that problem seriously, even as the rules around insider information in these markets remain unsettled.