X-Agent Releases White Paper, Shifting AI from Content Generation to Execution and Transactions

On September 21, the AI Agent on-chain operating system X-Agent released its latest white paper, detailing its product architecture, MCP ecosystem, business model, and XAGT application scenarios. The white paper indicates that the next phase of the AI industry will enable Agents to understand user intentions, call tools, execute tasks, and complete transactions. X-Agent allows users to create AI Agents with context, memory, skills, API, and wallet connection capabilities using natural language, without the need for coding. The business model of X-Agent aims to streamline the entire chain of Agent creation, MCP capability access, distribution, payment, and monetization, enabling developers to earn income through per-call, subscription, or transaction commissions. XAGT will be used for calculating fees, LLM and API calls, Agent transaction settlements, MCP service payments, Premium Agent template purchases, and developer deployments. In the future, it will expand to include service staking, multi-Agent settlements, and ecological governance scenarios. The project team disclosed that X-Agent has over 1 million registered users and has completed more than 1.1 million autonomous tasks, with LLM Token consumption exceeding 84 billion. Moving forward, the project will promote Super-Agent, enterprise sandbox, decentralized Agent Store, and multi-Agent collaboration systems. Through this white paper, X-Agent aims to clarify its long-term direction: to enable anyone to create Agents through language, equipping them with capabilities for execution, distribution, payment, and continuous commercialization.

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