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The evolution of blockchain data indexing technology: from primitive nodes to AI-enabled full-chain data services 1. Introduction Since the first batch of dApps emerged in 2017, the blockchain application ecosystem has become increasingly rich. When discussing decentralized applications, have we ever considered the source of the data used by these dApps? In 2024, AI and Web3 become hot topics. In the field of artificial intelligence, data is like the source of life and is crucial for the learning and thinking of AI systems. Without data support, even the most sophisticated AI algorithms find it difficult to exhibit intelligence. This article will delve into the development of blockchain data accessibility, analyze the evolution of data indexing, and compare the characteristics of data service protocols such as The Graph, Chainbase, and Space and Time, with a particular focus on the innovations of the latter two in integrating AI technology. 2. The Complexity and Simplicity of Data Indexing

Blockchain data indexing technology has evolved from primitive nodes to AI-powered full-chain databases. Early blockchain nodes faced limited query capabilities, which were later improved through the development of data parsing and indexers, enhancing data availability and query efficiency. Today, platforms like The Graph, Chainbase, and Space and Time combine AI technology to provide real-time data streams and intelligent services, promoting the intelligence and security of blockchain data services and supporting industry innovation.

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