Blockchain-Based Equilibrium Anchors Game Pricing Method for Data Element

The digital economy thrives on data, a critical production factor. However, the data-factor market faces challenges due to the lack of standardized pricing indicators and complex trading links. This research introduces an algorithmic simulation approach to address these challenges. It computes the value mean of data elements, considering attributes like granularity, multi-dimensionality, activity, scale, and credibility. The methodology establishes a dynamic anchor point through customized information and algorithmic analysis, employing game theory and user data for automated pricing via an interactive polling game. This approach, integrated with blockchain smart contracts, enhances market efficiency while ensuring fair pricing and protecting transactional interests. Experimental validation in a transparent blockchain environment proves its effectiveness in evaluating data element value and optimizing pricing strategies for mutual benefit.