X-Agent Releases Latest Whitepaper: Taking AI from "Content Generation" to "Execution and Transactions"

Odaily News: AI Agent onchain operating system (AI Agent Onchain OS) X-Agent has released its latest whitepaper, systematically introducing its product architecture, MCP ecosystem, business model, and the use cases of $XAGT.

The whitepaper points out that the next phase of the AI industry is not just about generating text, images, or code, but about enabling Agents to understand user intent, invoke tools, execute tasks, and complete transactions. Centered around 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 through natural language, without writing any code.

In terms of business model, X-Agent aims to connect the full chain of Agent creation, MCP capability integration, distribution, payment, and monetization. Developers can package APIs, data, and professional services into MCP capabilities and earn revenue through pay-per-call, subscriptions, or transaction commissions.

$XAGT is planned to be used for computing costs of secure runtime environments, LLM and API calls, Agent transaction settlement, MCP service payments, Premium Agent template purchases, and developer deployment. In the future, it will also expand to service staking, multi-Agent settlement, and ecosystem governance scenarios.

According to the project team, X-Agent currently has over 1 million registered users, has completed over 1.1 million autonomous tasks cumulatively, and has consumed over 84 billion LLM Tokens. In the future, the project will also advance Super-Agent, enterprise sandbox, decentralized Agent Store, and multi-Agent collaboration systems.