We have launched our Intelligence Oracle. The questions is why this matters for scalability? AI verification should not require every node to rerun the same expensive inference. Cournot executes once, then verifies only when challenged through a deterministic replay and pinpointed fraud proof. The result: 🔸lower verification costs 🔸fast settlement on the normal path 🔸deeper checks only when disputes occur 🔸scalability without multiplying inference across every node Application? Across multiple verticals

Cournot’s Intelligence Oracle is now connected to @Binance Pay's 402 and live on the B402 Bazaar on @BNBCHAIN. This means agents can discover Cournot as a paid service, call its probability API, and settle payment onchain as part of the same automated workflow. Using Cournot's Intelligence Oracle, an agent can now: • ask a plain-language question about a crypto event • receive a probability, the exact claim evaluated, and the supporting sources • pay for the intelligence programmatically • use the result inside a report, script, trading workflow, or decision step AI Trading is now equipped with verifiable intelligence.

Cournot is partnering with @renaiss_index to build a more transparent infrastructure for collectibles. As collectibles become more financialized and move onchain, users need more than ownership records. They need confidence that allocation is fair, pricing is transparent, and important market changes can be identified and explained. @renaissxyz through @renaiss_index brings its collectible market data and pricing index. Cournot adds third party verification through its Intelligence Oracle. Together, we are building: • fair and verifiable card allocations • transparent collectible pricing and market data • stronger monitoring and intelligence for collectibles and RWAs • better intelligence infrastructure for collectibles and RWAs

During the dinner in Bhutan, @cz_binance mentioned Building in the bear market the past half a year really helped the team to focus on building something that matter. We couldn't agree more. We still remember when CZ said that the space needs more Oracle. We were already building then and we are still building now. Definitely building our AI-native Oracle on @BNBCHAIN is the right choice for us. There are 270K+ agent identities on BNB Smart Chain, leading chain with most agents. On top of that, with the recent launches from @binance like Binance Agent OS would be helpful for our Intelligence Oracle development. We have started proving our thesis from onchain prediction markets and now we expanding it to multiple categories: RWA, intelligence trading, and beyond. We're proud to be an alum of @EASYResidency S3 and glad to be able to rejoin the @yzilabs family meeting the king @cz_binance @ellazhang516 and @cathyIncubates in Bhutan. It is both inspiring and contagious to be a part of such a great team. We also just noticed that our Cofounder, @ytutech, and CZ looks very similar in this picture 😁 We'll keep on building.

BNB Chain’s lead in registered AI agents is becoming hard to ignore. According to @8004_scan, there are 270K+ agent identities on BNB Smart Chain and with a lead that continues to widen, this suggests more than short-term activity. It points to an emerging distribution layer where agents can be discovered, transact, build reputation, and connect with other applications. For AI startups, that matters. The best place to build is often where the users, infrastructure, liquidity, and adjacent builders are already concentrating. @BNBCHAIN is increasingly bringing those pieces together through agent identity, payments, commerce standards, developer tooling, and low-cost execution. Cournot has been building on @BNBCHAIN for the same reason. As agents and projects become more autonomous, they need more than a place to execute. They need a reliable way to understand real-world events, verify evidence, and decide which information is trustworthy enough to act on. That is where Cournot fits: providing the Verifiable Intelligence Layer that agents and applications on BNB Chain can use for signals, risk monitoring, RWA verification, and policy-controlled decisions. Together, we build.

What is more fulfilling than a month full of building and shipping? From new integrations and production deployments to agent infrastructure and expansion to Intelligence Oracle, Cournot has continued turning its roadmap into working systems. Key updates 👇: 🔸 Cournot's AI-Native Oracle has been serving as Official Resolution Partner for @42Space. Cournot supports the settlement process with real-time monitoring, evidence-backed evaluation, and transparent resolution based on predefined rules. 🔸 Cournot is now embedded in @MyriadMarkets’ core resolution workflow as an independent AI voter, delivering fast, neutral, evidence-backed judgments. 🔸 Launched the Intelligence Oracle during the 2026 World Cup: • 3,100+ live markets affected • ~$498.4M notional influenced • 95%+ of registered wallets reached the leaderboard 🔸Cournot's Resolution Oracle Key Metrics: • $1.39B notional influenced • $9.23B shadow notional influenced • 5,625 resolutions • 99.32% accuracy • <8 min latency 🔸 Cournot has launched an AI-native oracle agent on @virtuals_io as an independent evaluator for real-world outcomes. Aligned with the ERC-8183 evaluator standard, the agent reviews evidence, interprets task conditions, and produces transparent, verifiable determinations for agent-to-agent commerce. 🔸 Cournot has built an AI-powered voter agent on @BNBCHAIN using the BNB Agent SDK. Designed for agent-to-agent commerce, it acts as an automated dispute evaluator, reviewing submitted work, checking it against agreed requirements, reaching an AI-based judgment, and casting the result onchain without a human moderator. 🔸 Updated Whitepaper: From redefining our thesis Oracle Evolution to expanding from Resolution Oracle into a broader verifiable intelligence stack, Cournot's AI Native oracle is built to serve multiple TAM: prediction markets, RWA & collectibles (price feeds, VRF, etc.), trading intelligence & signals, DeFi and beyond. Upward and onward.

Not every oracle question needs AI. If the condition can be answered through structured data and deterministic computation, that is exactly how it should be handled. AI should begin only where deterministic logic ends: when evidence is unstructured, sources conflict, definitions require interpretation, or context changes the conclusion. That is the design principle behind Cournot’s Intelligence Oracle. Structured questions follow deterministic paths. Complex real-world events move through evidence collection, semantic reasoning, confidence controls, and auditable judgment. The goal is not to put AI everywhere. It is to use the minimum necessary intelligence required to produce a reliable and verifiable answer. Read more in docs: