Delphi Digital: The Agent Economy Era Has Arrived

Author: Delphi Digital; Source: X, @Delphi_Digital, Translated by: Shaw Jinse Finance

The field of Artificial Intelligence Agents (AI Agents) has evolved from the demonstration stage to a complete infrastructure architecture.With the launch of the ERC-8004 mainnet, operational standards for payments, authentication, discovery, and enforcement have been officially enabled.

The x402 Protocol is Mature

The x402 protocol has processed over 100 million transactions. Recently, the protocol released a V2 version upgrade, adding wallet-based identity authentication, automatic API discovery, and multi-chain support implemented through the CAIP standard. Google's Agent Payments Protocol was developed collaboratively by more than 60 organizations and includes an A2A x402 extension for proxying crypto payments.

But payment is only one part of it. If agents can pay each other but cannot verify each other's payments, then the system lacks the trust layer required for complex coordination. Your agents need to be confident that the services they pay for will provide accurate results.

ERC-8004 Officially Launched

ERC-8004 addresses the trust problem by allowing agents to discover, select, and interact with other agents across organizational boundaries. It introduces three lightweight registries.

ERC-8004 solves the trust problem by allowing agents to discover, select, and interact with other agents across organizational boundaries. It introduces three lightweight registries.

MCP is the standard for connecting AI applications, tools, and data. It has over 10,000 published servers, and mainstream clients such as ChatGPT, Cursor, Gemini, and VS Code have integrated MCP. In December 2025, Anthropic donated MCP to the Linux Foundation's Agentic AI Foundation, marking MCP as a shared infrastructure.

A2A is Google's open inter-agent protocol. It defines agent cards for feature discovery and task lifecycles for coordination, while A2UI provides an open format for a cross-platform agent generation interface. MCP and A2A together transform agents from isolated scripts into a shared ecosystem where services are discoverable, tasks are standardized, and outputs are interactive.

Authorization Mechanism

Execution security is the final layer of protection. Authorization clarifies intent by binding price, scope, and conditions, enabling agents to act without ambiguous authorization. Google's AP2 authorization architecture is a novel agent payment security solution. Authorization is a tamper-proof, cryptographically signed contract that serves as verifiable proof of user intent. For purchases, users sign a purchase authorization that creates an immutable record of goods and prices. For delegated tasks without human presence, users pre-sign an intent authorization, specifying price caps, time, and conditions. Agents can then autonomously execute tasks within these limits. The convergence between crypto-native infrastructure and technical protocol design is happening faster than expected. For example, consider this: You need a market research report, ideally completed by the next morning. Your agent queries the ERC-8004 registry to find reputable data providers. It learns about these providers' capabilities via the A2A protocol and negotiates access permissions and pays fees via the x402 protocol. The providers provide the analytical data via an MCP tool. Your agent compiles the report and settles all transactions on-chain without human intervention. This is becoming increasingly apparent in the real ecosystem. OpenClaw has emerged as one of the open-source frameworks for building autonomous agents. Solana recently announced an agent hackathon with Colosseum. Virtuals released an ACP skill pack for OpenClaw that supports agent discovery, ACP tasks, and escrow settlement.

Conclusion

Everything is ready. After strong growth, the total market capitalization of stablecoins has exceeded $300 billion in 2025. The GENIUS Act provides a clear regulatory framework for companies building agent-driven payment systems.

Major tech companies have tended to adopt a common framework. AI agents are becoming independent economic entities with verifiable identities, transferable reputations, and autonomous transaction capabilities.