The Evolution of Blockchain Data Indexing Technology: From Nodes to AI-Powered Full Chain Data Services

1. Introduction

In the current wave of Web3 and AI, data has become the key to the development of artificial intelligence systems. Just as plants need sunlight and moisture, AI systems also rely on massive amounts of data to continuously learn and evolve. Without data support, even the most sophisticated AI algorithms struggle to demonstrate their intelligence and effectiveness.

This article will delve into the development of blockchain data accessibility, analyze the evolution of data indexing in the industry, and compare the characteristics of data service protocols such as The Graph, Chainbase, and Space and Time, exploring their innovations in conjunction with AI technology.

2. The Evolution of Data Indexing: From Blockchain Nodes to Full-Chain Database

2.1 Data Source: Blockchain Node

Blockchain nodes are the foundation of the entire network, responsible for recording, storing, and propagating all transaction data on the chain. However, building and maintaining nodes has a high barrier for ordinary users. To address this issue, RPC node providers have emerged, allowing users to access blockchain data without having to build their own nodes. However, RPC endpoints still face efficiency issues in complex data queries.

2.2 Data Parsing: From Prototype Data to Usable Data

The raw data provided by Blockchain Nodes is often encrypted and encoded, making it difficult to use directly. The data parsing process converts complex prototype data into a more understandable and operable format, which is a key link in the entire data indexing process.

2.3 The Evolution of Data Indexers

As the amount of Blockchain data increases, the demand for data indexers is growing. Indexers greatly simplify the data retrieval process by organizing on-chain data and providing a unified query interface. Currently, mainstream indexer protocols not only support multi-chain indexing but also customize data parsing frameworks for different applications.

2.4 Full Chain Database: Aligning to Stream Priority

As application demands become more complex, basic data indexers struggle to meet diverse query needs. Blockchain data service providers are moving towards building data streams to achieve real-time data processing and analysis. This shift enables developers to access and utilize blockchain data more flexibly.

3. AI + Database: A Comparative Analysis of The Graph, Chainbase, and Space and Time

3.1 The Graph

The Graph provides multi-chain data indexing and query services through a decentralized network of nodes. Its core is the subgraph (Subgraphs) structure, which defines how to extract and transform data from the Blockchain. The network is jointly maintained by indexers, curators, delegators, and developers, with all parties ensuring the system operates through economic incentives.

The Graph has also made breakthroughs in AI. Its core development team, Semiotic Labs, has developed tools such as AutoAgora, Allocation Optimizer, and AgentC, utilizing AI technology to optimize index pricing and user query experience.

3.2 Chainbase

Chainbase, as a full-chain data network, integrates all Blockchain data. Its features include a real-time data lake, a dual-chain architecture, an innovative data format standard "manuscripts", and a cryptographic world model that combines AI models.

The AI model Theia of Chainbase is based on NVIDIA's DORA model, combined with on-chain external data analysis encryption patterns, responding through causal reasoning to provide users with intelligent data services.

3.3 Space and Time

Space and Time (SxT) is committed to building a verifiable computing layer, expanding zero-knowledge proofs on decentralized data warehouses. Its innovative technology, Proof of SQL, ensures that SQL queries executed on decentralized data warehouses are tamper-proof and verifiable.

SxT has also partnered with Microsoft's AI Innovation Lab to develop generative AI tools that enable users to process blockchain data through natural language.

Conclusion and Outlook

Blockchain data indexing technology has evolved from the initial node data sources, through the development of data parsing and indexers, to finally becoming an AI-powered full-chain data service, undergoing a continuous improvement process. The advancements in these technologies have enhanced data access efficiency and accuracy, providing users with an intelligent experience.

In the future, with the development of new technologies such as AI and zero-knowledge proofs, Blockchain data services will become further intelligent and secure. As an infrastructure, Blockchain data services will continue to provide strong support for industry innovation.