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From Data Sources to Intelligent Analysis: The Evolution of Web3 Data Indexing Technology 1 Introduction The rapid development of blockchain applications has raised a key question: how do these decentralized applications acquire and process data? From the early dApps of 2017 to the flourishing financial, gaming, and social applications in today's multi-chain ecosystem, data acquisition and processing have always been a critical challenge. In the field of artificial intelligence, data is the key to driving system learning and evolution. Without massive amounts of high-quality data, even the most advanced AI algorithms struggle to realize their potential. This article will explore the evolution of data indexing technology from the perspective of blockchain data accessibility, and will compare and analyze the similarities and differences in the technical routes and product features of several representative data service protocols. 2 The Complexity and Simplicity of Data Indexing: From Blockchain Nodes to Full Chain Databases 2.1 Data Source: Blockchain Node Blockchain as a decentralized

This article discusses the evolution of blockchain data indexing technology, from basic node data to AI-driven full-chain services. With the development of technology, data parsing and indexers continue to optimize, improving the efficiency of data access and the intelligent experience. In the future, it will combine with new technologies such as AI to promote the progress and security of blockchain data services.

Blockchain data indexing technology has evolved from basic data access to intelligent services. With the introduction of new technologies such as AI and zk-SNARKs, it has improved data parsing and query efficiency. Representative projects like The Graph, Chainbase, and Space and Time each have their own characteristics, promoting innovation and development in blockchain data services.

With the development of Blockchain technology, the traditional method of relying on data Snapshots for on-chain contracts can no longer meet the needs of emerging scenarios. The rise of fields such as artificial intelligence, Real World Asset (RWA) tokenization, and Decentralization of Physical Infrastructure Networks (DePIN) has increasingly highlighted the limitations of single-point Snapshots. At this critical moment of technological transformation, off-chain computing, reasoning, and process verification are gradually becoming the new focus of the industry. These emerging core directions all require a robust off-chain process verification layer to support them. It is worth noting that the well-known digital asset management company Grayscale recently chose to launch the SXT Trust, a move that carries significant meaning. It not only reflects Grayscale's recognition of the credibility of SXT in off-chain calculations but also implies their optimism about this field as the next deterministic track. Grayscale's strategic layout undoubtedly injects new vitality into the entire Blockchain industry and provides strong endorsement for the future development of off-chain computing. With the continuous evolution of technology, we have reason to believe that off-chain computing will play an increasingly important role in the future Blockchain ecosystem, providing solid technical support for more innovative application scenarios.

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