The World Cup offers a concrete lens for looking at how crypto wallets are changing. Topics that fans discuss every day, such as whether a team can advance or how championship odds are moving, become priceable and tradable behaviors in prediction markets such as Polymarket. In that context, World Cup prediction activities integrated by mainstream Web3 wallets can be seen as a lightweight entry point into on-chain interaction, echoing the line of discussion in “World Cup Carnival, Prediction Markets Take the Table: How Polymarket and Others Open a Path to Mass Adoption?”
World Cup predictions as an early Agentic Wallet use case
In its latest World Cup-related exploration, imToken has begun placing AI agents into real usage scenarios. The agents it launched on the web and in Discord can help users move through specific prediction needs and complete betting transactions in a more natural way. Users no longer have to operate only inside the wallet app. They can participate in prediction markets through Discord, web pages and other contexts, while being guided back to on-chain actions by the agent.
This represents an early form of the Agentic Wallet. The Web3 wallet of the future is not limited to a standalone wallet application. It is closer to an AI-shaped wallet experience that can appear wherever a user’s intent is expressed. Over the past decade, the core questions for wallets were relatively clear: where assets are stored, who controls the private key, and who signs transactions. When users opened imToken, they were usually checking balances, making transfers, interacting with protocols, or managing multi-chain assets. At that stage, the wallet was mainly an asset entry point and a signing entry point. The user already knew what they wanted to do, and the wallet completed the last step.
From a function menu to an interpreter of intent
The change in the agentic era is that users do not always know what button they need to click at the beginning. In a World Cup scenario, an ordinary user may not start with the thought, “I need to open Polymarket, find a particular market, judge the odds, and complete a trade.” The user is more likely to ask, “What is interesting about tonight’s match?” “I think Portugal will advance; is there a related market?” “Is this price already too low?” or “If I only want to participate with a small amount, how does the process work?”
In the past, these questions were scattered across WeChat groups, social platforms and search engines. Each user had to assemble information on their own and then execute the process step by step. With an agent involved, the interaction pattern changes. The user only needs to express a broad intention. The agent breaks down the route, and the wallet turns that route into a sequence of on-chain actions. This is not simply a matter of adding a chat box to a wallet. The deeper change is that the wallet begins to shift from being a “function menu” to becoming an “intent interpreter.” Previously, users had to decide whether they wanted to transfer, swap, stake or connect to a DApp. A more agentic wallet experience translates a natural-language goal into executable steps.
This is why a mass event such as the World Cup works well as an entry point for Agentic Wallets. The event already has context. Users already want to talk about it. They also need help making judgments. The agent does not need to start by managing complex asset portfolios, especially because more complex asset management brings higher risk. It can first help users find an interaction path inside a specific scenario, and then return final control to the wallet and the user. imToken’s web-based and Discord-based on-chain agents are examples of this pattern. They bring wallet capabilities into lighter entry points, so users do not necessarily have to open an app first or enter a traditional DApp browser before finding an on-chain path.
The boundary of the wallet is therefore expanding outward. In the past, the entry point was clear: open the app, enter the asset page, click a function, and connect to a DApp. In the next stage, wallet entry points can be spread across web pages, Discord, Telegram, AI chat boxes, campaign pages, developer tools, and even lightweight wallet interfaces generated by users themselves. From this angle, the World Cup prediction activity is not the main point in itself. The key point is that it lets the wallet stand in front of user intent in a more natural way.
Web2 payment networks are working on trusted agents too
If viewed only from inside crypto, the Agentic Wallet can easily be treated as another narrative: AI helps users watch markets, find opportunities and execute trades, which sounds like a continuation of the previous AI agent wave. But Mastercard’s launch of Agent Pay for Machines on June 10 moved the issue beyond Web3. Mastercard defines Agent Pay as a way for trusted AI agents to participate in payments under user authorization. The framework addresses how an agent is identified, how it is authorized, how it is verified inside a payment network, and how merchants, issuers and users know that a transaction was assisted by an agent.
This is highly similar to the problem Web3 wallets face. When AI only helps write copy, the cost of an error is usually still manageable. Once AI begins participating in asset interactions, the questions change. Does it have permission? Did it understand the user’s intent accurately? Is the service it calls trustworthy? Did the transaction it initiated exceed its boundary? If the result is inconsistent with what the user expected, who handles the issue? Mastercard’s answer is to redesign the identity, tokens, authorization, risk controls and dispute handling of trusted agents within the payment network.
Domestic payment companies are also moving in this direction. WeChat Pay is testing AI payment functions together with Tencent’s agent product WorkBuddy, including an “AI-only card” inside WeChat Wallet. Based on disclosed information, the core of such products is not to let AI spend freely, but to create boundaries for agent payments through top-up limits, payment authorization scopes, password verification and confirmation. This follows the same logic as Mastercard Agent Pay: AI can participate in payment, but it must be identified, authorized, restricted and auditable.
The on-chain version is about boundaries and control
Web3 wallets face the on-chain version of the same question. The difference is that traditional payment systems emphasize networks, merchants, issuers and compliance responsibilities, while on-chain wallets emphasize private keys, signatures, authorizations, contract calls and user self-custody. Because of this, Agentic Wallets cannot simply copy the path of traditional payments. In traditional payment systems, users can rely on banks, card networks, merchants, dispute handling and risk control systems. In the on-chain world, once a transaction is submitted to the chain, there is often no undo button.
The more efficiency an AI agent brings, the more important the wallet becomes as the final safety boundary. Future wallets cannot merely allow agents to “do things.” They must ensure that agents can act only within the range permitted by the user. Many discussions of AI agents quickly move toward extreme visions: AI automatically trades, manages wealth, finds airdrops or arbitrages for the user. Those directions are attractive, but for a wallet, the hardest problem is not automation. It is the sense of boundaries.
A wallet is not an ordinary application. If AI recommends the wrong song, writes the wrong paragraph or clicks the wrong page inside a normal app, the issue is mostly about experience. Inside a wallet, if AI misunderstands an instruction, calls the wrong contract or grants an excessive approval, it can become a real asset risk. This is the same question raised by “Sign Is Not Just Signing: When an AI Agent Signs for You, Who Still Holds Control?” The first-principles question for Agentic Wallets is not how much AI can do for the user. It is how the user knows what the AI is doing.
This also explains why imToken has emphasized control over the past several years. From self-custodial wallets to multi-chain asset management, and now to AI co-creation and agent exploration, the continuous thread is not simply the addition of more functions. It is that users must be able to understand, confirm and control their own digital world. In the agentic era, this becomes more specific. A wallet needs to show the user who the agent is, what capabilities it can call, how long the authorization lasts, whether it can operate across DApps, when the user must confirm again, and whether the user can pause or revoke it with one action.
These questions may sound detailed, but they are the foundation for whether an Agentic Wallet can stand as a real product category. The power of an AI agent comes from its ability to make complex processes simple. A user says one sentence, and the agent can break it into more than ten execution steps. That is good for experience, but it also creates a safety challenge. The longer the path and the more intermediate links involved, the more the wallet must bring critical checkpoints back in front of the user. World Cup prediction activities are an event-based entry point, while imToken’s web agent and Discord agent are community-based entry points. The wallet’s next form is already beginning to emerge from these smaller scenes.