Polymarket partners with Chainalysis on insider trading detection
Polymarket has partnered with blockchain data platform Chainalysis to deploy monitoring tools aimed at detecting insider trading and implementing its market integrity rules.
The agreement covers several Chainalysis products, including investigative tools, on-chain security services, and professional support. Chainalysis will also train Polymarket staff and assist with investigations.
Chainalysis Co-Founder and Chief Executive Jonathan Levin said, “On Polymarket all trades and all settlements are recorded on a blockchain – a level of transparency that traditional markets simply cannot match. Pairing that transparency with Chainalysis’ data and expertise sets a new standard for market integrity enforcement. With this collaboration, on-chain markets have the potential to be the most trustworthy markets for understanding world events.”
A key part of the partnership is a detection model built using the Chainalysis Data Solutions product, which is designed to identify trading patterns that may indicate insider knowledge.
Polymarket said the tool will strengthen its existing monitoring framework, which is used to detect possible breaches of its terms of use.
Polymarket Chief Executive Shayne Coplan added, “Polymarket was built on-chain because transparency matters, and our platform shows what markets can look like when trades are open, traceable, and accountable by design. Every market deserves that standard. This partnership with Chainalysis pairs that transparency with the monitoring and enforcement infrastructure to back it up, and helps us continue to build the most trusted source of truth in markets.”
This partnership comes after Polymarket and prediction market platform Kalshi introduced restrictions on insider trading back in March.
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The Backstory
Rising scrutiny puts prediction markets on notice
Prediction markets have surged into the mainstream, drawing users with liquid bets on politics, sports and breaking news. That visibility has invited tougher questions about whether the platforms can prevent trades based on nonpublic information. In recent months, professional leagues, lawmakers and regulators have pressed for tighter controls, arguing that markets tied to easily manipulated or preknown outcomes are vulnerable to abuse. The tension came to a head around high-profile, real-time events and personalities where thousands of insiders may know results before the public, from Super Bowl ad lineups to personnel moves in pro sports.
That concern is not theoretical. Platforms have faced mounting pressure to curb activity that looks like traditional insider trading, even if event markets operate outside the equities playbook. The debate has sharpened the line between legitimate forecasting and opportunism, forcing companies to add compliance layers, formalize integrity rules and adopt investigative tools to keep up with the pace of trading.
When enforcement moved from policy to prosecution
A turning point came with the arrest of a U.S. special operations soldier accused of betting on a classified mission. Federal prosecutors charged Gannon Ken Van Dyke with using confidential information to place wagers on a prediction market tied to Venezuelan President Nicolás Maduro’s capture. Authorities say more than $33,000 in bets yielded over $409,000 in returns. The case, detailed in a report on a U.S. soldier charged with prediction market insider betting, is believed to be the first insider trading indictment linked to a prediction platform in the United States.
According to the indictment, the soldier tried to erase traces of the trades after media reports flagged unusual activity. The episode underscored two dynamics reshaping the sector: law enforcement’s readiness to prosecute insider conduct in event markets and platforms’ willingness to flag suspicious activity to authorities. It also showed how geopolitical events, not just sports and elections, can catalyze both market interest and enforcement risk.
Regulators, leagues and lawmakers narrow the lanes
The political and regulatory climate has grown more restrictive as prediction markets test new frontiers. The NFL’s call to end trades on easily manipulated events urged platforms to avoid markets where outcomes can be predetermined or swayed by insiders, including coaching changes, officiating decisions and player transactions. The league warned such markets can generate unwanted allegations against staff and erode trust among fans.
At the same time, lawmakers have floated bills to clamp down on insider abuse and, in some cases, to curtail the scope of permissible contracts. Those proposals followed controversy over markets seen as especially prone to leaks. Ahead of Super Bowl LX, platforms listed event contracts tied to advertising content and celebrity appearances, raising red flags because marketing teams, agencies and broadcasters know the lineup in advance. Coverage of event contracts on Super Bowl ads captured the core dilemma: even if laws ban insider trading, the large pool of informed insiders and the real-time nature of markets can overwhelm current policing capacity at the Commodity Futures Trading Commission.
The combined pressure from leagues and Washington has pushed operators to self-police more aggressively, anticipating that tighter federal standards are coming. The industry’s challenge is to preserve the predictive value of crowdsourced trading while minimizing avenues for manipulation.
Platforms reset rules and lean on community reporting
Operators responded by redefining who can trade and what information counts as off-limits. In March, platforms moved in tandem to limit participation by individuals with direct influence or access to sensitive data. A joint wave of updates, outlined in coverage of Kalshi and Polymarket introducing new insider trading restrictions, barred politicians, athletes and other relevant figures from certain markets and clarified that illegal tips, stolen data and trades by those who can sway outcomes breach integrity rules.
The changes also leaned on transparency and user vigilance. Kalshi added a whistleblower tool embedded in market pages to flag suspect activity in public order books, acknowledging that no screening system is perfect. The reset drew political blowback. Some lawmakers argued the guardrails did not go far enough because a wide orbit of staff, consultants and spouses can access nonpublic information. That critique framed a broader policy question: how to draw bright lines in markets where information is diffuse and incentives to trade are high.
Sports distribution deals complicate the risk calculus
Even as platforms tightened rules, they continued to expand into mainstream media and live sports. DAZN struck a partnership to integrate real-time probabilities and trading features into live streams, with an eye toward eventually hosting contracts and enabling in-platform trading. The initiative, described in coverage of DAZN collaborating with Polymarket to add prediction trading, aims to meet fans where they watch and to weave interactive forecasting into the viewing experience rather than launch a standalone product.
The move raises the compliance bar. Embedding markets into broadcasts could widen the audience and compress the time between information release and trading, increasing both liquidity and surveillance needs. It also intersects with the NFL’s warnings about markets tethered to content or decisions known inside production pipelines. As sports platforms bring prediction trading closer to game action, operators face a sharper trade-off between engagement and exposure to insider risks.
Why market integrity tools matter now
The recent enforcement milestone, louder league objections and a tightening policy agenda have forced prediction markets to professionalize surveillance. Self-regulatory steps and whistleblower tools are necessary but insufficient when trading is on-chain, cross-border and rapid. Investments in detection models and investigative tooling are becoming table stakes for platforms that want to scale without courting regulatory backlash.
The stakes are clear. Without credible monitoring, event markets risk reputational damage, user attrition and potential restrictions on the categories they can list. With it, the sector can argue that transparent ledgers, public order flows and robust analytics make these venues at least as policed as legacy betting channels—and in some cases, more so. The coming months will test whether new guardrails, league engagement and deeper law-enforcement ties can balance innovation with integrity across politics, sports and geopolitics.
