Cournot Becomes Official Resolution Layer for 42, an Event Trading Protocol for Tokenized Future Outcomes
Santa Clara, California, June 15th, 2026, Chainwire
As event trading platforms continue expanding into sports, crypto, politics, and real-world events, a new bottleneck is emerging across the industry: resolution.
Cournot Protocol, an AI-native oracle for real-world outcomes backed by YZi Labs, announced today that it has integrated with 42 as the platform’s official AI-native resolution layer, providing real-time monitoring, evidence-backed evaluation, and structured settlement support for event markets. The announcement comes shortly after 42’s Binance Wallet integration, and a World Cup 2026 trading campaign expected to distribute more than $250,000 in user incentives.
During the World Cup 2026 period, Cournot is also launching ‘Cournot World Cup Signal Campaign’, an AI-powered intelligence layer that continuously monitors injuries, lineup changes, breaking news, and other probability-shifting events to help users discover market opportunities throughout the tournament period. Cournot’s intelligence signal will help users to trade with more confidence and earn extra USDT rewards on top of their market winnings.
This integration marks another step in the evolution of event trading infrastructure, as platforms increasingly look beyond traditional data feeds and community-based moderation to support more complex market categories.
Backed by top tier VCs like YZi Labs, Dragonfly, Coinbase Ventures, 42 is an events launchpad and trading protocol where future outcomes trade as liquid tokens on demand-driven bonding curves before settling according to predefined resolution rules. As market coverage expands across a growing range of real-world events, the challenge increasingly shifts from market creation to market settlement.
While launching new markets has become relatively straightforward, determining outcomes across thousands of events remains operationally intensive. Sports props, creator events, geopolitical developments, and other real-world outcomes often require interpretation, evidence gathering, and continuous monitoring rather than simple retrieval from a single API.
Through the integration, Cournot continuously monitors active markets and relevant external events, collecting evidence and evaluating whether resolution criteria have been satisfied. When a market approaches resolution, the system provides structured evaluations that include supporting evidence, referenced sources, interpretation of market criteria, and reasoning behind the proposed outcome.
The goal is not simply to automate resolution, but to make the resolution process more transparent and auditable.
“Resolution is becoming one of the most important infrastructure challenges as event trading platforms scale,” said Yukai Tu, Co-founder of Cournot Protocol. “The industry has become very efficient at creating markets. The next challenge is ensuring those markets can settle accurately, transparently, and at scale across increasingly complex real-world events.”
The 42 integration follows Cournot’s earlier deployment with Myriad, where the protocol supports market operations through real-time monitoring, evidence-backed evaluations, and structured resolution workflows.
Together, the integrations reflect a broader shift occurring across event trading and prediction market ecosystems. As platforms move beyond simple price-based or objectively measurable outcomes, they increasingly require systems capable of evaluating evidence, interpreting market rules, and producing explainable judgments.
Historically, market settlement has relied on moderators, dispute committees, governance participants, or community voting systems. While effective for many categories, these approaches become increasingly difficult to scale as platforms expand into larger numbers of markets and more nuanced event types.
Cournot approaches the problem through what it calls Proof of Reasoning, a framework designed to make AI-generated judgments auditable by exposing the evidence, reasoning process, and supporting sources behind every outcome. Rather than simply producing a verdict, the system provides a transparent record of how the conclusion was reached.
The approach is particularly relevant as event trading platforms expand into categories where outcomes cannot be determined through a single data source. Markets involving public statements, creator activity, niche sports events, political developments, or evolving real-world situations often require continuous monitoring and interpretation before an outcome becomes knowable.
Industry observers increasingly view resolution infrastructure as one of the next major growth areas for event trading and prediction markets. While liquidity and user acquisition have historically dominated discussions around market growth, reliable settlement remains foundational to market integrity and long-term user trust.
For platforms such as 42 and Myriad, the adoption of AI-native resolution infrastructure represents an effort to expand market coverage while maintaining transparent and evidence-backed settlement standards.
As event trading continues evolving into a larger category within crypto, the ability to monitor reality, interpret outcomes, and settle markets efficiently may become just as important as the markets themselves.
With integrations now live across multiple platforms, Cournot is positioning itself as a foundational layer for the next generation of event trading infrastructure, one designed not only to retrieve information, but to interpret real-world outcomes and make the reasoning behind those decisions verifiable.
About Cournot Protocol
Cournot Protocol is an AI native oracle that provides verifiable and auditable resolution for unstructured real-world events backed by YZi Labs. It solves the resolution bottleneck that limits prediction markets and autonomous systems by going beyond human voting, raw data feeds, or compute proofs alone.
Through Proof of Reasoning, Cournot verifies how AI reaches decisions, by structuring judgment into auditable workflows that ensure data authenticity, logical coherence, and constrained outcomes. This enables infinite resolution across real-world conditions, from hyper-local markets to agent-to-agent decisions, unlocking scalable prediction markets and accountable AI systems for the automated economy.
Website: https://cournot.ai/
X (Twitter): https://x.com/CournotProtocol
Whitepaper: https://docs.cournot.ai/