
The AI-Native Oracle that interprets reality and proves it. Backed by @yzilabs
Joined January 2026
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Cournot is backed by @yzilabs through @EASYResidency Season 3
Cournot interprets real-world events by aggregating multiple sources in real time and applies multi-agent reasoning to reach a judgment. Every source, reasoning step, and conclusion is cryptographically provable onchain, making every judgment verifiable.
Together, we're powering a future where markets, autonomous agents, and onchain applications can securely settle against real-world truth on @BNBCHAIN.
We're aligned with what @Tronn_lyu elaborated.
Cournot's Intelligence Skill has been utilizing Binance Pay's B402 and also live on BNB Chain B402 Bazaar.
With this skill, 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
Happy to support any related projects with our intelligence skill! xitter.cf/CournotProtocol/status…
最近和一些朋友在讨论 @BNBCHAIN 的 AI 赛道接下来的重点,正好趁着 @BinanceWallet 的 Agentic Wallet 和 Agent ID 很火热,和大家聊聊我个人比较关注的几个方向:Agentic Payment、Agentic Trading、Agentic SDK/MCP、AI Launchpad、AI Security 以及 AI Privacy。
1️⃣ Agentic Payment
1. Agent 微支付最适用的场景之一,是 Agent 为自己的模型和算力调用付费。随着 Agent 的使用越来越多,模型推理、算力和工具调用的支付与结算也会进一步链上化。目前很多人使用 Agent,仍然需要自己配置模型 API 和付费账户。更理想的体验是,往 Agentic Wallet 里面存入支持的支付资产之后,Agent 就可以在用户授权和预算范围内,通过 x402/b402 按量购买支持这些支付方式的模型和算力服务,用户则直接在 Telegram 或者其他消息端和 Agent 交互。现在已经有相关的支付能力,接下来值得关注的是,能不能接入更多服务,把整个使用体验做得更方便。
2. API 和数据的购买。目前 AI 的出现也带来了搜索引擎行业的变革,AI 已经成为一个更加便利,也能帮助打破语言壁垒和信息壁垒的信息入口。注意到 CMC 等数据平台也都有封装对应的数据 API,Cournot 作为 AI Oracle,也在给 Agent 提供报价和信息服务。我个人也希望看到 Dune 等更多数据平台接入 x402/b402 的支付渠道,让 Agent 可以更方便地按需购买高质量的数据。
3. Agent 有了钱包和 ID 之后,作为一个可以被发现、被雇佣,并持续提供服务的个体,其属性会被强化。它们作为服务提供者产生收入的应用范围也会扩大,比如 Agent 本身作为 KOL 做营销,或者提供私有数据的分析服务等等。通过可验证的收款和履约记录,以及经过授权披露的交付成果,外部也可以更好地判断一个 Agent 的服务能力。这里除了支付,如何验证交付、积累信誉,也会是很重要的环节。
2️⃣ Agentic Trading
1. 目前直接让 Agent 生成策略、帮忙管理资金,可能还存在一些信任的问题。但是让 AI 作为一个 vibe coding 的工具,辅助专业的策略构建者完成策略编码、回测和部署,构建完善的、链上可用的交易策略,我觉得会是短期内比较可行的业务模式。信任依旧主要建立在对于策略创建者的信任上,同时也需要有明确的资金权限、执行约束和风控机制。
2. 第一个问题也反映出,构建 Agent reputation 的平台,给大家提供 Agent 能力和可靠性的验证服务,也会是接下来的重点。Agent ID 可以帮助我们识别一个 Agent,但它是否值得信任,还需要看真实的交付记录、实盘表现,以及失败和风险记录。这件事其实也不只适用于 Trading,而是会贯穿整个 Agent 经济。
3. AI 辅助 trading 应该是比较早期能够落地的应用场景。AI 在信息获取、筛选和分析上有明显的效率优势,可以帮助我们做更快的信息抓取和判断。目前 Agentic Wallet 和 Agent ID 发布之后,围绕着 Agentic Wallet 构建交易终端,提供很方便的连接钱包,以及调用各种交易相关 Skill 的体验,用来做早期项目发现、信息筛选和数据分析,我觉得应该可以获得一批用户。
4. Agent Social Trading。围绕着 Agentic Wallet 的数据排行榜、copy trading Skill、聪明钱推送 Skill,会诞生新的 social trading 模式。这里除了收益,也需要能看到回撤、运行时间和风险暴露等数据,才能更好地判断一个 Agent 或者策略是否值得跟随。
3️⃣ Agentic SDK/MCP
目前大部分的链上项目都有开发集成的 SDK 和数据访问的 API,也已经有部分项目提供了 MCP 和 Skill,但对于 Agent 来说,发现、理解和可靠地调用这些能力,仍然有不少门槛。
接下来我个人认为,会有越来越多的链上项目把 swap、deposit 等交互封装成 Agent 可以直接调用的工具,并补齐交易模拟、用户授权和异常处理。@BNBCHAIN 也会进一步完善相关的 marketplace,让 Agent 更方便地发现和接入 BNB 生态的工具与服务,同时让用户更容易判断这些工具的来源、质量和权限范围。
4️⃣ AI Launchpad
Agent 能够自己发行 token,探索服务定价和代币经济模式,比如需要用对应的 token 才能购买 Agent 的服务,或者把一部分服务收入、交易税费用于购买算力,覆盖自己的运行成本。
不过我个人更关注的是,这些 Agent 能不能产生真实的服务需求和持续收入。如果一个 Agent 能够靠提供服务养活自己,再通过 token 协调用户、开发者和其他参与者的利益,我觉得会是一个比较有意思的方向。
5️⃣ AI Security
链上安全检测的重要性会显著提升。目前 AI 在调用工具和进行链上交互的过程中,可能会遇到恶意 Skill/MCP、提示注入、过度授权,以及合约和交易本身的风险。
我觉得开发适配 AI 交互的安全审查 Skill,进行交易前的筛查、交易模拟和风控提醒,会很重要。同时也需要把权限、预算、异常监测和暂停机制结合起来,让 Agent 在明确的边界内执行。这一层会随着 Agent 可以调用的工具越来越多,变得更加重要。
6️⃣ AI Privacy
1. 数据隐私与安全一直是 AI 领域的命题。如何在保护自己数据隐私的情况下和 AI 进行交互,是当下个人和企业都很想解决的问题。比如在使用私有资料、客户数据或者企业内部信息时,能不能控制哪些数据可以被模型和服务商访问,以及这些数据会不会被保存和再次使用。
2. 随着 Agent ID、钱包地址和行为记录逐步关联,也会产生保护资金往来、交易策略和客户关系的需求。这和模型调用过程中的数据隐私是两个不同的层面。像 @0xprivacypools 的隐私转账、@SilentSwap 的私密跨链兑换、@hinkal_protocol 的机密支付,以及 @anoma 生态的 AnomaPay,都提供了不同方向的隐私能力。它们如何与 Agent 钱包和支付流程结合,在积累信誉的同时保护必要的隐私,也会是一个比较有意思的切入点。
欢迎相关的项目来联系我或者 @nina_rong
24/7 markets are based even more with 24/7 intelligence that shows what happened, what it means, and whether the evidence is strong enough to act on (or not to act on).
We need to break the data leaks cycle; which most of the times, caused by ‘data farming’ by said companies.
With AI we can configure it to only check the information that is really needed to execute and let private information stay private.
Stay SAFU.
Agents are starting to use intelligence as infrastructure, not just as an interface. We have seen the demand, , proven the use case, and we want to be the verifiable intelligence layer more teams can build on.
We’re actively looking to work with teams across:
• AI agents & agent marketplaces
• Trading & market intelligence
• Prediction markets
• RWA & private credit
• DeFi & risk infrastructure
• Payments & compliance
• Gaming, social, and event-driven applications
If you are building on @BNBCHAIN ecosystem and your product needs event probabilities, source-backed intelligence, real-world condition monitoring, or verifiable decision inputs, we should really talk.
DMs are open. LFG 🔥
Within just one month after being the top 3 trending Skills on Clawhub, @CournotProtocol 's Intelligence Oracle skill has already grown so much:
• 15K+ installs
• 14K+ active wallets
• 221K+ calls
This is not just growth. It is proof of demand. The thesis is becoming clearer with every call: agents need intelligence before action.
This is the layer we believe will become increasingly important as agents move from assistants to economic actors.
Still a lot to build. Still a lot to work on. LFG 🔥
Users safety come first. take immediate actions if your organization is using PHP. We have checked and we're not using PHP anywhere in our tech stack. Stay SAFU.
Effective Immediately, all organizations using PHP for their systems are advised to be prepared for an update addressing two critical vulnerabilities. PHP is widely used for web applications. These vulnerabilities often provide a direct path to the server's file system or database. If an immediate update is not feasible, it is recommend that organizations take the system offline until it can be fully mitigated. NSA will follow up shortly with more specific guidance.
Cournot does not use PHP anywhere in our tech stack, and our platform is not affected. Clients can confidently rely on our services.
Stay SAFU.
For industries like credit, compliance, RWA, and AI agents, useful verification often depends on sensitive information that should never be exposed publicly.
Cournot’s approach is to separate the fact being verified from the underlying data: authenticate the source, evaluate the relevant condition, and return a structured, auditable result without publishing the raw evidence itself.
That means proving what is necessary, while keeping everything else private.
Exciting things are coming to Bangkok during this @binance Blockchain Week. Make sure you won't miss it at binanceblockchainweek.com 🇹🇭
Congrats to @odagius for his appointment as @BNBStandard's CEO.
We’re excited to announce Alex Odagiu as CEO of BNB Standard (Nasdaq: BNC), effective today.
Catch him in his first appearance as our CEO live on stage at @money2020 USA in Las Vegas at 11:00 a.m. PT, in a fireside chat with Remy Blaire of @FINTECHTVglobal.
globenewswire.com/news-relea…
Blockchains work because public information can be verified by everyone. But much of the real economy runs on private data: credit records, financial statements, compliance documents, proprietary research.
That means oracles need to do more than bring data onchain. They need to verify what matters without exposing what should remain private.
And that's what we do.
True story.
Jean-Denis Greze, founder of @TownAI, on the question every AI app founder gets asked: what stops the big labs from crushing you?
"It is risky always to be competing with your suppliers, right? We're competing against our suppliers. So you gotta ask yourself, is that naturally the right state of the world?"
"Someone at OpenAI, at Anthropic, at Google could wake up and decide to do that. So the better answer actually is to think about our customers and what they want."
"It is our job to determine from all the AI capabilities, frontier model, open weight, what is the right thing for you as a business. And I think you can save money there, but also you can de-risk ever having made the wrong partner."
"There are companies that picked OpenAI like two years ago, and then Anthropic was better at coding for a 12-month period. And those companies had to use both because they realized to be competitive, they needed Claude."
"If you're a smart business, you really think about the neutrality of who's providing intelligence for you and who's routing."
@jgreze @arampell
AI agents can become incredibly capable. But capability doesn’t matter if users don’t trust them enough to act.
This figure shows an important key takeaway. The real adoption bottleneck is not capabilities of the agents, but the confidence:
• What did the agent know?
• Why did it make that decision?
• Can the evidence be verified?
• Was the outcome actually delivered?
The next generation of agents won’t win on capability alone. They’ll win on verifiability.
AI is helping Americans shop, but 42% don't trust it to make a purchase yet
Even in the most popular categories, only about a quarter would let AI choose and buy for them:
- 27% for clothing
- 26% for electronics
- 25% for travel
Charts of the Week: a16z.news/p/this-week-in-cha…
Better market intelligence isn’t more noise. It’s a clearer reason to act or not to act.
Cournot's Intelligence skills bring you exactly that.




















