X-Agent Releases New Whitepaper: Enabling AI to Evolve from "Content Generation" to "Execution and Transactions"

AI Agent onchain operating system X-Agent has released its latest whitepaper, which details its product architecture, MCP ecosystem, business model, and use cases for the $XAGT token. The whitepaper notes that the next phase of the AI industry goes beyond generating text, images, or code—it will enable Agents to understand user intent, call tools, execute tasks, and complete transactions. Centered on the philosophy of "Speak to Build, Share to Connect," X-Agent allows users to create AI Agents with context, memory, skills, API, and wallet connectivity capabilities via natural language, no coding required. In terms of business model, X-Agent aims to integrate the full lifecycle of Agent creation, MCP capability integration, distribution, payment, and monetization. Developers can package APIs, data, and professional services as MCP capabilities, earning revenue through pay-per-use, subscriptions, or transaction commissions. The $XAGT token is planned for use in computing fees for secure runtime environments, LLM and API calls, Agent transaction settlements, MCP service payments, premium Agent template purchases, and developer deployments. Future use cases will expand to service staking, multi-Agent settlements, and ecosystem governance. According to the project team, X-Agent currently boasts over 1 million registered users, has completed more than 1.1 million autonomous tasks, and consumed over 84 billion LLM tokens. Going forward, the project will advance initiatives including Super-Agent, enterprise sandboxes, decentralized Agent Stores, and multi-Agent collaboration systems. Through this whitepaper, X-Agent aims to further clarify its long-term vision: enabling anyone to create Agents via language, and empowering Agents with the ability to execute, distribute, pay, and achieve continuous commercialization.