In March 2026, Gate officially launched Gate for AI—a unified capability interface designed for AI Agents. Unlike the typical "market data + basic order placement" AI tools on the market, Gate for AI fundamentally encapsulates the core functionalities of both centralized and on-chain trading into standardized protocols. This means AI is no longer limited to conversational interactions; it can now participate directly in the entire workflow, from data analysis and strategy generation to order execution and post-trade review.
Gate for AI isn’t just an additional feature outside the existing exchange business; it transforms the entire exchange into a native infrastructure layer that AI can access directly. Once developers integrate Gate for AI with mainstream AI models or Agent frameworks, AI gains institutional-level process automation capabilities—including multi-source data integration, risk assessment, position sizing, real liquidity execution, and outcome tracking.
Technical Architecture: Dual-Layer Design with MCP and Skills
Gate for AI’s architecture consists of two layers. The first layer is MCP, which standardizes all exchange data and operational interfaces into a toolkit that AI can call directly. This covers core data functions for both spot and derivatives markets, including order book depth, funding rates, liquidation order history, and other structural and risk metrics. MCP’s core value lies in its broad coverage and easy integration, enabling any MCP-compatible AI model to quickly access Gate’s trading capabilities.
The second layer is Skills. Built on top of MCP, Skills are advanced modules that package multiple data sources and logic models into pre-orchestrated strategy components. For example, Skills can automatically scan for arbitrage opportunities or generate entry zone assessments using integrated risk models. If MCP solves the "can use" problem, Skills address "using it intelligently." Each Skill is more than a simple prompt—it’s a structured knowledge module containing context, best practices, and specific tool combinations.
Within this unified interface system, Gate for AI offers five core domains: centralized trading, on-chain trading, wallet and signing systems, real-time news and sentiment data, and comprehensive on-chain analytics. This combination empowers AI to complete the full "research—decision—execution—monitoring" loop.
Skills Hub: Zero-Code Configuration for Everyone
Skills Hub, a key component of the Gate for AI product suite, is now live. This feature allows users and developers to configure pre-built trading strategy modules for AI Agents without writing any code. As a result, AI can not only analyze market information but also participate in strategy decisions and execute trades, delivering a fully automated smart trading workflow.
Skills Hub supports diverse use cases. For instance, it can monitor market conditions and set stop-losses, automatically executing strategies when abnormal funding rates are detected. Users can also have AI analyze entry timing, generate reports, and confirm orders. Compared to industry alternatives, Skills Hub stands out by supporting both spot and perpetual contract trading, enabling multi-dimensional market analysis, and delivering a complete "analyze—decide—order" cycle for institutional-grade trading.
According to official sources, Gate has completed a major upgrade to Skills Hub, expanding the number of AI Skills from 11 to over 10,000—creating one of the most comprehensive AI trading strategy marketplaces in the industry. The platform aggregates resources from GitHub and other sources, optimizing supply through deduplication and quality filtering mechanisms. It now covers core scenarios such as market analysis, arbitrage strategies, trade execution, and risk management.
How Developers Can Contribute Skills and Earn Rewards
The Gate for AI Developer Program offers multiple ways for developers to participate and earn rewards.
Skill Development and Contribution. Developers can build new Skills modules on top of MCP’s foundational capabilities, packaging professional market strategies into AI-callable skill bundles. When these Skills are listed on Skills Hub and used by other users or AI Agents, developers receive corresponding rewards. This mechanism transforms developer expertise into a sustainable income stream.
Participate in MCP Challenges and the Blue Lobster Program. Gate’s "Make Your Blue Lobster Smarter" challenge aims to showcase innovative use cases developers can create with Gate for AI MCP access. Developers can submit 15- to 60-second demo videos or in-depth tutorials to demonstrate their AI Agent capabilities. The prize pool is 3,000 GT, and if a referred friend wins, the referrer can share an additional 500 GT.
AI Reviewer Bounty Program. Gate Square has launched a dedicated AI Reviewer bounty campaign with a total prize pool of $50,000, inviting the community to submit reviews of AI trading tools, strategy retrospectives, and real-world experiences. Key incentives include up to $100 per post as a base reward, with first-time posters earning up to $200. In-depth analysis selected by the official team earns an extra $30 per article.
Creator Ecosystem and Content Incentives. The Gate Square Creator Certification Program offers over $10,000 in rewards for high-quality content creators, including token prize pools, exclusive merchandise, and increased exposure. During the beta period, creators who publish content on Gate Square and drive real trading activity are eligible for fee rebate sharing, with commissions up to 60%.
Sustainable Revenue Model. The crypto and AI sectors are undergoing a fundamental shift as teams move away from proprietary tech stacks toward distributed networks, allowing participants to earn based on actual contributions and deliverables. Gate’s infrastructure converts participation into tangible rewards, creating a positive feedback loop between developer contributions and earnings.
Ecosystem Expansion: From 11 to Over 10,000 Skills
The rapid growth of the Gate for AI ecosystem reflects both developer enthusiasm and the platform’s commitment to expansion. Growing from just 11 Skills to over 10,000 in a short period, Gate has rapidly scaled its Skills marketplace. This growth is driven not only by Gate’s in-house development but also by ongoing contributions from the developer community.
Skills Hub aggregates resources from GitHub and other platforms, building an open Skills supply structure. Developers can package existing trading strategies, analytics models, or risk control solutions as Skills for a broader user base. As the number of Skills continues to rise, Gate for AI is evolving from a single-platform feature into an open AI trading capability marketplace.
How to Start Your Gate for AI Developer Journey
Getting started with the Gate for AI Developer Program is straightforward. Developers should first familiarize themselves with the MCP protocol and Skills architecture, as well as the basic functions of the five core domains. From there, they can choose a development direction based on their expertise: data-focused developers might build market intelligence Skills, while those with a strategy background can develop arbitrage or risk management Skills.
Gate for AI offers multiple integration options, including CLI, API, and MCP protocol, all compatible with mainstream AI models and Agent frameworks. Developers don’t need to build an entire trading infrastructure from scratch—they can leverage Gate’s core capabilities and focus their efforts on strategy innovation.
During development, developers can reference existing Skills in the Skills Hub to understand different design patterns and implementation approaches. Participating in official events like the MCP Challenge or AI Reviewer program offers immediate rewards and helps developers build their reputation and resources within the community for future earnings.
Looking Ahead
Gate for AI has a clear vision: to upgrade the exchange from a functional platform to AI-native infrastructure. In this transformation, developers are shifting from external contributors to co-builders of the ecosystem. By contributing Skills, developers not only earn financial rewards but also help shape the evolution of AI trading capabilities. As the Skills marketplace continues to expand and the reward mechanisms improve, the Gate for AI Developer Program is poised to become a vital bridge between AI technology and practical crypto trading.
