Quick Reads

With growing volatility in the precious metals market, Gate's Metals Section delivers 24/7 trading opportunities via perpetual contracts. This empowers users to respond dynamically to market shifts and refine their trading strategies. The article offers a detailed examination of how this section enables investors to boost trading efficiency and minimize risk.

Gate introduces USDT staking on the Morpho protocol. Start investing with as little as 1 USDT and enjoy an annualized yield of 4.94%. Benefit from daily distributions and flexible redemption options, allowing you to effortlessly earn on-chain returns.

Join the third phase of the Gate TradFi Gold Lucky Bag event. Every trade gives you a chance to enter a prize draw every 10 minutes to win 1g of gold. Trade daily for ongoing opportunities and an easy way to win gold rewards.

Gate VIP Welcome Gift Phase II Is Officially Underway! Upgrade to VIP 5 for the first time to claim your exclusive new user gift pack. Unlock substantial airdrops by trading futures and TradFi products, and get your share of the $500,000 cash prize pool!

GateAI has officially launched its web portal, adding a range of intelligent assistant features such as the user center, marketing campaigns, asset management, and personalized recommendations. These updates accelerate the platform’s shift to an AI-driven intelligent service layer, further elevating the user experience.

Gate for AI is at the forefront of the intelligent trading revolution, utilizing AI Agent infrastructure and the Skills Hub to streamline trading strategy configuration. This empowers users to capture every opportunity in fast-moving markets.

Gate GTBTC delivers a 5.49% annualized yield, enabling BTC holders to earn steady returns even in volatile markets. Discover how GTBTC can help you optimize your asset allocation and boost your long-term gains.

As artificial intelligence (AI) technology evolves at a rapid pace, managing and deploying AI models efficiently has become a primary concern for businesses and developers in all sectors. To lower the cost and complexity of AI application development, Gate has officially introduced GateRouter—an intelligent, efficient, and cost-effective AI model routing platform.

AI model routing refers to a technical mechanism that dynamically selects the most suitable AI model to handle a request when multiple models are available. It is also commonly called an AI model router or LLM router. Through a model routing system, AI applications can automatically choose different large language models based on factors such as task complexity, cost, and response speed, allowing them to balance performance and operational efficiency.

An AI Agent API refers to the mechanism through which AI agents call AI models or external services via application programming interfaces (APIs). Through these APIs, AI agents can access large language models, data services, and blockchain applications, enabling them to automatically execute complex tasks without direct human intervention.

The x402 protocol is a Web3 API payment standard designed for AI agents that addresses the challenge of paying for API services in automated environments. The protocol builds on the HTTP standard 402 Payment Required status code and combines it with blockchain based payment mechanisms, allowing programs to automatically complete payments and settlement when requesting API services. Through this design, x402 provides new infrastructure for machine to machine service transactions on the internet.

GateRouter is an AI model router and large language model gateway within the Gate for AI ecosystem. It enables developers and AI agents to access multiple large language models from different providers through a single API interface, including models such as ChatGPT, Claude and Gemini.

GateRouter and OpenRouter are both AI model routers, but they differ in architecture, payment mechanisms, and Web3 integration. This guide compares their core designs, AI agent compatibility, and typical use cases.

AI agents in financial systems are software systems that can interpret goals, use external tools, gather market context, and decide which actions to take, while crypto trading bots are typically rule-based programs that execute predefined trading logic automatically. Agent-based systems have drawn more attention as crypto markets have become more fragmented across centralized exchanges, decentralized exchanges, wallets, news feeds, and on-chain data sources. Platforms such as Gate for AI reflect this shift by exposing trading, wallet, news, and on-chain capabilities to AI systems through Model Context Protocol (MCP) connections and modular skills, rather than limiting automation to a single execution script. The difference matters because crypto environments change quickly. Price moves, liquidity conditions, sentiment signals, and cross-platform opportunities often evolve faster than static rules can adapt. Understanding how bots and AI agents differ helps clarify where simple automation remains useful and wh

The Sky governance community has recently put forward a new funding allocation proposal, aiming to allocate around 70 million USDS as Genesis Capital to several Sky Agents. This capital will support the agent network’s early-stage operations and expansion. By involving more independent capital allocators, Sky intends to increase the diversity of capital deployment and further reinforce the yield foundation for the Sky Savings Rate.