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Gate for AI Agent Skills 2.0 Architecture: CLI-Driven Execution Layer and Low-Cost, High-Determinacy Trading System

Gate for AI Agent Skills 2.0 Architecture: CLI-Driven Execution Layer and Low-Cost, High-Determinacy Trading System

Gate has upgraded its AI Agent Skills architecture to version 2.0, replacing the multi-step MCP calls with native CLI commands. This enhancement delivers a highly controllable infrastructure for AI-driven trading and research.

Blog Team2026-04-29

Gate AI Agent Skills Architecture Upgrade: Achieving Cost Optimization and Efficient Task Execution

Gate AI Agent Skills Architecture Upgrade: Achieving Cost Optimization and Efficient Task Execution

Gate has completed an architecture upgrade for Gate for AI Agent Skills, introducing a CLI mode that significantly reduces costs and enhances task execution efficiency. Discover how this innovation is driving breakthroughs in high-frequency trading and asset management.

Blog Team2026-04-29

GateRouter Smart Routing System: A New Paradigm for AI Agent Execution Infrastructure

GateRouter Smart Routing System: A New Paradigm for AI Agent Execution Infrastructure

GateRouter aggregates over 40 leading AI models through a unified API, providing intelligent routing and on-chain native payments to deliver autonomous execution infrastructure for AI Agents.

Blog Team2026-04-29

Gate for AI Agent: Exploring the Foundations of AI-Driven Automated Crypto Trading and Research Infrastructure

Gate for AI Agent: Exploring the Foundations of AI-Driven Automated Crypto Trading and Research Infrastructure

Gate for AI Agent integrates AI into the entire cryptocurrency trading and research workflow. By leveraging structured Skills to replace manual information retrieval and automating repetitive tasks, it reduces decision-making costs.

Blog Team2026-04-28

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Gate for AI Agent: Building an Integrated Intelligent Trading System for Crypto Markets

Gate for AI Agent: Building an Integrated Intelligent Trading System for Crypto Markets

Gate for AI Agent integrates market analysis, strategy modeling, and automated trading features, leveraging AI technology to enhance trading efficiency and help users develop a more systematic decision-making process in the crypto market.

Blog Team2026-04-28

From HTTP 402 to On-Chain Payments: How the x402 Protocol Empowers AI Agents to Transact Autonomously

From HTTP 402 to On-Chain Payments: How the x402 Protocol Empowers AI Agents to Transact Autonomously

This article breaks down protocol architecture, on-chain data, industry alliance structures, and multiple scenario evolution paths. It explores the technical logic and risk factors in the autonomous agent crypto payments sector.

Blog Team2026-04-27

AI Payment Market Restructuring: Competitive Landscape Between Solana and Base in the Agent Payment Layer

AI Payment Market Restructuring: Competitive Landscape Between Solana and Base in the Agent Payment Layer

Solana now accounts for roughly 70% of AI payment processing volume within the x402 protocol ecosystem. This article offers an in-depth analysis of the power struggle between Solana and Base at the AI payment layer, examining the competition from four perspectives: data, technical architecture, ecosystem dynamics, and narrative strategy.

Blog Team2026-04-27

Gate for AI Agent: AI Trading Execution Architecture and Crypto Trading Infrastructure Development

Gate for AI Agent: AI Trading Execution Architecture and Crypto Trading Infrastructure Development

Gate is restructuring the execution logic for crypto trading with AI Agent.

Blog Team2026-04-27

Gate for AI Agent: Lifecycle Management and Automated Execution Framework for AI Trading Strategies

Gate for AI Agent: Lifecycle Management and Automated Execution Framework for AI Trading Strategies

Gate for AI Agent integrates strategy lifecycle management—from ideation to iteration—into a unified platform.

Blog Team2026-04-24