BingX says daily requests to its AI Skills Hub climbed from 2.85 million to 30 million in five months, a roughly 953% increase that places conversational AI tools closer to the exchange's core trading and account-management functions.
The company's Oct. 30 update said users are employing the toolkit to retrieve market data, review balances and open positions, track orders, and interact with trading products through natural-language prompts. The figures come from BingX and cover requests processed through its AI Skills Hub rather than a measure of completed trades or active users.
The service is designed to work with AI coding assistants including Claude Code, Cursor, and Windsurf. Rather than requiring users to write API calls from scratch or build a custom connection, the hub provides prebuilt "skills" that an AI assistant can use to carry out defined tasks on the BingX platform.
That approach moves the exchange interface beyond charts, order forms, and account pages. A user could ask an assistant to retrieve a market price, inspect an account balance, or check the status of an order through a conversational prompt, subject to the permissions attached to the account and the product's confirmation process.
Trading requests account for a large share of usage
BingX said it offers nearly 30 skill modules spanning perpetual futures, spot markets, coin-margined contracts, copy trading, account management, and technical analysis. Trading-related actions represented 40% of the 10 most frequently requested functions, according to the company's data.
Market-data API requests accounted for 26% of the top 10 request types. The split suggests that many users are beginning with information retrieval such as prices, market conditions, and account status while a substantial portion are also using the tools in workflows tied directly to order activity.
The distinction matters for how AI assistants are being positioned in crypto trading. Market-data requests generally carry fewer operational risks than instructions involving an order or account action. Combining both categories in one toolkit can make a trading workflow faster, but it also concentrates more responsibility on access settings, prompt review, and transaction confirmations.
BingX said its system includes safeguards and confirmation requirements for actions that require them. Its chief strategy officer, Lee, said the product is intended to connect information access and trading functions on a single platform.
The company did not present the request increase as evidence that all queries resulted in transactions. API requests can include repeated data calls, testing activity, automated dashboard refreshes, and other non-trading interactions. Even so, the volume reported by BingX indicates that prompt-based tools are being used for more than experimental coding tasks.
Partners are building custom reporting tools
The update also pointed to usage beyond individual account queries. BingX said affiliate partners are using the Skills Hub to build dashboards that analyze trading activity, volume, and commission data, with some creating customized internal reporting interfaces.
For partners that rely on recurring performance checks, an AI-enabled API toolkit could reduce the time spent navigating separate reports or manually assembling data. The value is less about replacing analysis and more about making platform data easier to retrieve, organize, and present in a format suited to a particular business workflow.
This use case also shows why exchanges are adding AI-facing API layers rather than limiting AI features to chatbots within their websites. Coding assistants can combine data retrieval, basic analysis, and interface-building in one session. A partner may use an assistant to request data, transform it into a report, and update a dashboard without manually constructing each API request.
The utility depends on the quality of instructions and the scope of account permissions. Natural-language systems can make complex functions more accessible, but they can also obscure the underlying action if users approve requests without reviewing the order details, authentication scope, or generated code.
Permissions remain central as AI tools handle account actions
The practical security issue is whether an AI assistant has read-only access or permission to initiate account changes and orders. Read-only credentials can support portfolio monitoring, market screening, and order-status checks while limiting the damage from an unintended instruction. Trading permissions require tighter controls, particularly when an assistant can interpret prompts and communicate with an exchange API.
Users connecting coding assistants to exchange accounts would generally need to consider spending limits, withdrawal permissions, API key restrictions, device security, and confirmation settings. Keeping withdrawal authority separate from trading or data access can limit exposure if an API credential is mishandled.
The rise in requests reported by BingX reflects a push to turn exchange APIs into tools that can be used through everyday language rather than only by developers. That could give active traders and affiliate partners quicker access to data and routine functions, while placing greater weight on the controls that determine what an AI-connected account is actually allowed to do.
BingX, founded in 2018, says it serves more than 40 million users globally. The company has been Chelsea FC's principal partner since 2024 and said it became an official team partner of Scuderia Ferrari HP in 2026.
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