3.1 What is GamePad?

GamePad is an intelligent execution and operational infrastructure platform for decentralized finance (DeFi). It focuses on the continuous operation of DeFi systems after launch, providing long-term available computing, execution, and scheduling capabilities for automated strategies, AI, and agents. As DeFi protocols gradually introduce automated market making, dynamic risk management, and intelligent decision-making mechanisms, operational capabilities are evolving from auxiliary conditions to core foundational elements determining system stability and scalability. GamePad provides systemic-level support at this stage.

As a runtime infrastructure, GamePad targets financial protocols and strategy systems with automated and intelligent execution features, connecting to distributed computing resources and building a unified execution and scheduling environment. Through a computing and intelligent execution stack optimized for financial scenarios, the platform provides protocols and developers with callable and sustainable operational capabilities, enabling DeFi systems to continue to obtain the computing power required for strategy computation, risk assessment, and intelligent execution at a controllable cost even after deployment and market entry.

GamePad provides incubation and launch support for DeFi projects, assisting them in completing the entire process from system verification and execution structure building to official launch, based on the actual needs of the protocol during the operational phase. This structure enables computational support, intelligent execution, and project launch to work collaboratively within the same system, thereby reducing the engineering complexity and uncertainty of automated financial systems in the long run.

By integrating runtime computing, intelligent execution capabilities, and incubation and launch mechanisms into a unified platform structure, GamePad plays an infrastructure layer role in the DeFi ecosystem, connecting protocol design, system operation, and ecosystem collaboration. This enables AI and agents to serve as long-term operating units in the financial system, continuously participating in strategy execution, risk control, and system evolution.