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AI agents, computing power, and prediction markets are all heating up, and Auvera Chain wants to verify the same question: who will settle?

Summary: After the public test network launches in April 2026, the narrative of Auvera Chain is shifting from "occupying three popular tracks" to a more specific question: Can this process of AI Agents calling computing power, reading event data, executing strategies, and completing payments be settled and audited on the same chain?
Industry Express
2026-05-15 16:08:20
Collection
After the public test network launches in April 2026, the narrative of Auvera Chain is shifting from "occupying three popular tracks" to a more specific question: Can this process of AI Agents calling computing power, reading event data, executing strategies, and completing payments be settled and audited on the same chain?

AI + Crypto already has plenty of big stories. AI Agents are seen as new autonomous execution entities, DePIN computing networks are viewed as the resource supply layer of the AI era, and prediction markets have re-entered the industry's vision due to real events, real funds, and high-frequency trading. However, if these three tracks only appear in parallel, it is still easy to remain at the conceptual level.

The highlight of the Auvera Chain's testnet lies in its attempt to place these three types of demands into the same validation environment. According to the project's disclosed information, Auvera is currently in the public testnet/beta phase, providing a beta official website and a blockchain explorer entry, and has included EVM compatibility, account abstraction, cross-chain bridges, DEX, AgentRegistry, x402 payment adaptation, and TEE security framework in its roadmap. Rather than asking "which market has a larger scale," the testnet should answer: can these modules support real interactions?

The Common Issue is Not Traffic, But Settlement

To make the scenario more concrete: an AI Agent wanting to participate in a prediction market first needs to read event data; if strategy calculations require additional resources, it may call external computing power; when the strategy is triggered, it needs to execute transactions, pay fees, and leave operational records on-chain using a smart wallet. In this process, data, computing power, funds, and permissions will circulate.

This is precisely the common problem faced by the three tracks. AI Agents need identity, wallets, budget limits, and permission boundaries; otherwise, they can initiate operations but find it difficult to be authorized, restricted, and held accountable. DePIN computing networks need clear task initiators, pricing methods, result verification, and payment paths; otherwise, idle GPUs can easily remain in the supply narrative. Prediction markets naturally rely on event data, fund flows, strategy execution, and result settlement, making them suitable as early pressure testing grounds.

If this link can gradually be established during the testnet phase, "the intersection of three tracks" will not just be a market slogan but a set of observable infrastructure logic: Agents are responsible for execution, computing power provides resources, prediction markets offer real scenarios, and the chain is responsible for settlement, permissions, and auditing.

Figure: Auvera Chain places the three application lines of AI Agents, DePIN computing, and prediction markets into the same testnet validation framework.

Auvera's Role: Undertaking On-Chain Economic Entities

The new positioning of Auvera Chain is closer to "the financial foundation of on-chain economic entities." The entities here include not only future AI Agents but also existing trading users, developers, computing power providers, and application participants.

This is more stable than simply saying "AI public chain." Because the AI Agent economy still needs wallets, payments, permissions, and application scenarios to be gradually validated, but real users and developers can already participate in on-chain interactions. Auvera's path is to first serve today's on-chain behaviors and then extend the same set of account, rights confirmation, payment, settlement, and auditing capabilities to Agents.

Next Stage: Look for On-Chain Evidence

The launch of the testnet is just the first step. Next, the outside world should pay more attention to verifiable indicators: the real transaction activity in the blockchain explorer, the interaction of Agent identities or smart wallets, the depth of DEX and cross-chain bridge testing, the actual completion of x402 payments and TEE security modules, and whether applications like prediction markets and AI Box bring real tasks and real consumption.

If these data continue to emerge, the strategic entry timing of Auvera Chain will become clearer: it is not simply piecing together the three popular terms of AI Agents, DePIN computing, and prediction markets, but attempting to compress these three types of dispersed demands into a single low-cost, settleable, and auditable on-chain closed loop.

For the AI + Crypto track, the next stage of competition will not only look at who claims a larger market but at who can provide real interactions, real payments, and real audit records. After the public testnet of Auvera Chain, what needs to be validated is precisely this.

Reference materials: Auvera Chain project information and roadmap; Coinbase x402 official materials; Ethereum ERC-8004 draft; public research materials on AI x Crypto and DePIN.

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