As artificial intelligence technology enters a period of large-scale application, how to improve the efficiency of data element allocation has become a topic of concern in the industry. On April 28, Ant Data officially launched the DataX intelligent agent data ecosystem platform at the 9th Digital China Construction Summit. By integrating the Model Context Protocol (MCP) and the professional intelligent agent DTClaw, it lowers the threshold for data access and shortens the cycle of data value conversion.
In traditional models, data from "raw materials" to business applications often face pain points such as long integration cycles, high difficulty in understanding, and challenges in cross-platform application adaptation. The technical foundation of DataX transforms traditional data services into standardized MCP protocols, significantly improving AI access efficiency; meanwhile, DataX deeply integrates the mature DTClaw intelligent agent capabilities of Ant Data, encapsulating complex data processing logic and industry practices into directly callable Skills and Agents, making data "ready to use out of the box." In addition, DataX has also built a knowledge base based on data graphs, enabling intelligent arrangement of data applications and efficient retrieval of data knowledge through natural language.
According to the information, the DataX platform gathers a rich library of Skills covering privacy computing, data processing, data operations, and data applications. By accumulating industry experience and lowering the technical development threshold, it helps enterprises quickly build professional intelligent agents in data business scenarios. In the actual data circulation process, professional Skills are deeply integrated into three key stages: supply, circulation, and demand. On the supply side, data processing and value assessment Skills enhance the efficiency of data product packaging; on the circulation side, privacy computing Skills ensure data security, while data operation Skills improve matching efficiency; on the demand side, industry ISVs are opened up for collaboration, and industry-specific Skills are developed to serve real business scenarios.
Ant Data has undergone years of business practice around data element scenarios. Its FAIR Trusted Data Space platform has passed 100% of the functional tests by the National Data Standards Committee for Trusted Data Spaces, and is one of the first platforms in China to pass this test. It has already been deployed in key provinces and cities such as Xi'an and Jilin, becoming the core support for local data hubs. The release of DataX marks that Ant Data's FAIR platform has made a leap from "underlying trusted technology products" to a "data intelligence value platform," which is expected to accelerate the large-scale transformation of data elements into real productive forces.
