Polymarket Partners with Palantir and TWG AI to Detect Manipulation in Sports Prediction Markets
Polymarket has partnered with Palantir and TWG AI to develop an advanced monitoring system designed to detect suspicious trading and potential manipulation in sports prediction markets, reflecting growing pressure on the rapidly expanding sector to strengthen transparency and credibility.
The new system will leverage Palantir’s data infrastructure alongside TWG AI’s analytics capabilities to monitor trading activity across Polymarket’s markets. The platform is designed to identify unusual trading patterns, screen participants, and generate compliance reports that may be shared with regulators or sports leagues.
The monitoring infrastructure will also track trading activity before and after orders are placed, detect coordinated behavior, and flag traders who may be prohibited from participating in certain markets.
Shayne Coplan, founder and CEO of Polymarket, said:
“The goal is to bring world-class analytics and monitoring to sports markets while helping leagues and teams maintain confidence in the integrity of games.”
The initiative highlights the broader challenge facing prediction markets as they evolve from niche crypto experiments into platforms that increasingly shape public discussions about elections, economics, and sports outcomes.
Prediction markets allow users to trade contracts linked to the outcome of real-world events, with participants placing money behind their expectations. Supporters argue that this mechanism can efficiently aggregate information and generate accurate forecasts.
However, the same structure raises concerns about traders potentially profiting from insider information before it becomes public, particularly as markets emerge around sensitive topics such as policy decisions, military actions, labor strikes, and political pardons.
Carlos Pereira, general partner at BITKRAFT Ventures, which manages more than $1 billion across investments in gaming, AI, and digital assets, warned that these risks could become a major obstacle for the industry if left unaddressed.
“There has been what seems to be insider trading,” he said. “When you have a market that is new and by consequence a little bit fragile, making the news in negative ways can be dangerous.”
The monitoring system Polymarket is building resembles the surveillance infrastructure used by traditional financial exchanges, tracking activity around order placement, identifying coordinated trading, and flagging restricted participants.
With regulatory frameworks for prediction markets still unclear in many jurisdictions—particularly in the United States—, strengthening monitoring capabilities could help operators demonstrate that the industry can effectively self-regulate.
Without such safeguards, Pereira noted, regulators may feel increasing pressure to intervene more aggressively.
