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ViaBTC CEO Haipo Yang Discusses x402 Protocol's Role in AI Payments

ViaBTC CEO Haipo Yang Discusses x402 Protocol's Role in AI Payments

Cryptocurrency

Exploring the x402 Protocol in AI Payments

Amidst the buzz around Nof1's AI trading competition and Coinbase's new x402 protocol, AI applications in finance are expanding. As a notable protocol for AI payments, x402 offers unique advantages over traditional systems. Haipo Yang, CEO of ViaBTC, shares insights on its feasibility and future potential.

How x402 Differs from Traditional Payments

Q: What sets x402 apart in solving AI payment issues?

Haipo Yang: x402 simplifies on-chain payments by standardizing them as web services and using a Facilitator to handle trust and execution. While traditional systems like Alipay and Visa cater to humans, x402 is designed for AI Agents, overcoming high entry barriers and friction costs associated with conventional payments.

By leveraging token programmability and Facilitators, x402 enables automated micropayments, allowing high-frequency transactions without the complexity of direct on-chain operations.

Future Outlook and Challenges

Q: What is the future of x402, and what challenges might it face?

Haipo Yang: x402's value lies in facilitating Agent-to-Agent economic networks, making payments invisible to end users. However, its reliance on Facilitators like Coinbase introduces centralization risks. Additionally, its simplicity limits features like refunds, prompting exploration of broader protocols.

Real-World Applications of AI Agents

Q: How are AI Agents adding value today?

Haipo Yang: Developers benefit most from AI Agents, which aid in tasks like code review and unit testing. Non-technical users also find value in "vibe coding," while small teams use Agents for quick design drafts. Despite limitations, these tools are valuable for demos and MVPs.

Future Opportunities and Crypto Experiments

Q: What future opportunities exist for AI Agents, and how might crypto innovate?

Haipo Yang: Beyond developer assistance, AI Agents could facilitate autonomous collaboration and procurement. Experiments like Nof1's trading competition and CoinEx's MCP service highlight this potential, allowing Agents to autonomously access data and execute strategies, thus enhancing market efficiency.

In this ecosystem, x402 supports economic collaboration among Agents, enabling microtransactions for data and services. This evolution points towards a digital economic system of cooperating Agents.

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