
Polymarket has launched an audit of third-party startups building "copy-trading" applications on its platform, following concerns that these tools may enable users to replicate trades based on nonpublic information. The move comes as the prediction market operator faces growing scrutiny over potential insider activity.
The startups under review develop tools that allow users to track and mirror the trading behavior of high-performing accounts. In some cases, these apps flag unusually large or well-timed bets that could indicate access to privileged information, raising questions about market fairness and transparency.
The audit reflects mounting pressure on Polymarket to enforce clearer rules after previously supporting external developers through its Builders Program. That initiative encouraged startups to build on top of its infrastructure, but some of those products now sit at the center of compliance concerns.
Copy-trading apps aggregate data from active traders and present curated lists of accounts with strong performance or suspicious activity patterns. Users can then either manually replicate trades or automate the process through bots, effectively outsourcing decision-making to observed market participants.
According to reporting, these tools often highlight traders with consistent winning streaks or identify trades placed at moments that suggest informational advantage. The apps generate revenue by charging subscription or access fees for these insights and automation features.
The model has contributed to a sharp increase in activity on Polymarket, with copy-trading tools reportedly adding hundreds of millions of dollars in trading volume. While this boosts liquidity, it also raises the risk that information asymmetry becomes amplified across the platform.
"These copy-trading apps give their customers lists of Polymarket traders with good winning streaks, or flag unusually large or oddly timed bets that may be based on confidential information," The Information reported.
Some of the startups involved have taken an aggressive approach to positioning their services. Polycool, one of the audited projects, advertises a "guide to Polymarket insider trading" on its website, framing prediction markets as structurally different from traditional financial markets.
"This isn't the stock market, where using nonpublic information will land you in jail," Polycool states. "The rules for decentralized prediction markets are a completely different game."
Another startup, Kreo, promotes tools designed to help users "find insiders before the rest." These messaging strategies highlight a broader issue: the absence of clearly enforced norms around information use in decentralized or quasi-regulated trading environments.
Both startups were part of Polymarket's Builders Program, which launched in November to expand the platform's ecosystem. The program enabled third-party developers to build applications on top of Polymarket's data and execution layer, but oversight of these tools appears to be tightening.
Polymarket and its main competitor Kalshi have both faced scrutiny over insider trading practices, particularly as volumes and visibility increase. In response, Polymarket introduced clearer rules and enforcement measures last month, signaling a shift toward tighter governance.
The current audit suggests that internal policies alone may not be sufficient if third-party tools enable indirect circumvention. As prediction markets evolve, regulators and platforms are likely to focus more closely on how information flows through the ecosystem, not just on direct trading behavior.
The outcome of the audit could influence how prediction market platforms structure developer access going forward. Stricter controls, revised data permissions, or limits on copy-trading functionality may emerge as platforms attempt to align growth with compliance expectations.