Gate heavily releases Gate for AI, the industry's first unified entry covering five major capabilities: CEX, DEX, wallet, information, and data.

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The globally leading digital asset trading platform Gate has officially launched Gate for AI, the industry's first AI Agent infrastructure that integrates centralized trading (CEX), on-chain trading (DEX), wallet signing, real-time news, and on-chain data capabilities on the same platform with the same interface system. This upgrades the entire exchange to an infrastructure layer that AI can directly call upon, representing a complete openness of a system of capabilities to AI.

What is Gate for AI?

Gate for AI is a unified capability interface layer aimed at AI Agents. When developers connect it to mainstream AI systems like ChatGPT, Claude, Manus, etc., AI is no longer limited to merely querying market data or executing single commands but can complete a full set of processes within the same architecture:

  • Multi-source market data and on-chain data integration analysis

  • Risk assessment and intelligent position calculation

  • Strategy determination and trading decision generation

  • Order submission and execution based on real liquidity

  • Trade result tracking and strategy review

In other words, Gate for AI is not simply opening a "placing order interface," but rather fully opening the core capability system of the exchange to AI, enabling AI to have systematic operational capabilities close to institutional-level processes.

Why is it said to be the industry's first full-domain capability openness?

Currently, AI interface openness in the market is mostly focused on single scenarios—typically spot trading interfaces, wallet data capabilities, or partial on-chain support. While the functions may seem rich, they are still "pointed openness."

Gate for AI is the first to comprehensively cover five major AI capability domains under the same architecture:

Full capability openness for centralized trading (CEX)

  • All core products such as spot, contracts, financial management, and IPO subscriptions are fully integrated, supporting real-time matching execution.

Interoperable on-chain trading capabilities (DEX)

  • Supports Swap, on-chain perpetuals, and Meme coin trading, enabling AI to participate in on-chain markets.

Wallet and signing system (Wallet)

  • Supports wallet creation and on-chain authorization processes, completing real on-chain operations within a TEE trusted environment and secure confirmation mechanisms.

Real-time information and sentiment data system (Real-time intelligence)

  • Provides structured market news and event analysis capabilities, enhancing AI's market response speed.

Comprehensive on-chain data query (Industry data encyclopedia)

  • Supports querying of cryptocurrencies, projects, addresses, and risk information to meet deep research needs.

The five major capability domains of Gate for AI are uniformly output under the same interface system, forming a complete structure of "research—judgment—execution—monitoring." This level of coverage and integration has not been seen in the industry so far.

MCP + Skills dual-layer capability structure: from general capabilities to advanced strategy engines

Gate for AI adopts a dual-layer capability structure:

First layer: MCP (Standardized Tool Interface)

Provides a wide range of capabilities, including market data, account management, order placement, on-chain data, and other basic functions. Its advantages lie in strong compatibility, easy deployment, and rapid integration with mainstream model ecosystems.

Second layer: Skills (Pre-arranged Advanced Capability Modules)

This is a higher-level capability encapsulation. It packages multiple data sources and logical models into directly callable strategy modules, such as automatically scanning for arbitrage opportunities, assessing entry ranges, and linking risk models to generate structured reports.

In other words, MCP addresses comprehensive access and is responsible for "usability"; Skills address deep application and are responsible for "smarter use." The combination of the two endows Gate for AI with both breadth of coverage and technical depth.

From "trading functions" to "infrastructure-level upgrades"

Unlike products that only support partial real order placements, Gate for AI is built upon a mature matching system and risk control system. Each call by AI directly connects to a real market environment rather than a simulated system. With the architecture design of MCP + Skills, Gate for AI achieves full process openness from access, capability invocation to trade execution, and supports multi-platform integrations. Compared to industry solutions that only provide partial capabilities or simple encapsulated interfaces, Gate for AI builds a truly production-grade Agent infrastructure.

Gate is upgrading its trading capabilities from "user interface products" to an "AI-callable infrastructure layer," transforming AI from just an auxiliary tool to directly participating in real market interactions, becoming an important participatory force in the future digital asset market.

GateAI simultaneous upgrade: smart services comprehensively cover the user journey

At the same time, GateAI (AI trading assistant) has completed the largest scale of functional expansion since its launch. Based on the original spot order, financial management subscription, and instant conversion capabilities, it has added more than ten new modules, including user center management, marketing activity queries, unified account management, quantitative product subscriptions, rebate systems, and personalized recommendations. GateAI is evolving from an "AI trading assistant" to a full-process smart entry covering registration, authentication, trading, asset allocation, and daily account management, becoming one of the core interaction interfaces between users and the platform.

The launch of Gate for AI marks the beginning of the comprehensive opening of exchange capabilities to the AI ecosystem in a protocolized and standardized way, representing a key step towards the Agent-native era in the crypto trading system. In the future, Gate will continue to expand Skill templates, advanced strategy tools, and institutional-level risk control capabilities, accelerating the implementation of the platform's Intelligent Web3 strategy.

Learn more: https://www.gate.com/gate-for-ai-mcp-skills

About Gate

Gate was founded in 2013, and its founder and CEO is Dr. Han. It is one of the world's leading cryptocurrency trading platforms, serving over 50 million users and supporting trading of more than 4,400 types of crypto assets. As an industry benchmark, Gate was the first to achieve 100% reserve proof, with its ecosystem covering diverse services such as Gate Wallet and Gate Ventures.

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