X-Agent releases the latest white paper: Let AI move from "generating content" to "execution and trading"
AI Agent Onchain Operating System (AI Agent Onchain OS) X-Agent has released its latest white paper, which introduces its product architecture, MCP ecosystem, business model, and application scenarios of $XAGT.
The white paper points out that the next stage of the AI industry is not just about generating text, images, or code, but about enabling Agents to understand user intentions, invoke tools, execute tasks, and complete transactions. Centered around the concept of "Speak to Build, Share to Connect," X-Agent allows users to create AI Agents with context, memory, skills, API, and wallet connection capabilities through natural language, without the need to write code.
In terms of business model, X-Agent aims to establish a complete link for Agent creation, MCP capability access, distribution, payment, and monetization. Developers can package APIs, data, and professional services as MCP capabilities and earn income through per-call, subscription, or transaction commission.
The $XAGT token is planned to be used for computing fees in secure operating environments, LLM and API calls, Agent transaction settlements, MCP service payments, Premium Agent template purchases, and developer deployments. In the future, it will also expand to scenarios such as service staking, multi-Agent settlements, and ecological governance.
According to the project team, X-Agent currently has over 1 million registered users, has completed more than 1.1 million autonomous tasks, and the consumption of LLM Tokens has exceeded 84 billion. In the future, the project will also promote Super-Agent, enterprise sandbox, decentralized Agent Store, and multi-Agent collaboration systems.
Through this white paper, X-Agent hopes to further clarify its long-term direction: to enable anyone to create Agents through language, allowing Agents to truly possess the capabilities for execution, distribution, payment, and continuous commercialization.






