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Chainbase (C) is a modular, interconnected, and customizable blockchain ecosystem, positioned as 'The Internet of Rollups'. Its core technology is the Hyperdata Network, a full-chain data network designed to provide efficient, real-time, and scalable on-chain data infrastructure for Web3 developers, data scientists, and applications. Below is a detailed introduction to Chainbase technology, covering its architecture, functionalities, tools, and application scenarios.
1. Core Technology: Hyperdata NetworkHyperdata Network is the core component of Chainbase, designed as a cross-chain data indexing and processing platform, with the following features: Full-chain data indexing
Chainbase efficiently collects and processes on-chain data from multiple blockchains (such as Ethereum, Solana, Binance Smart Chain, Polygon, etc.) in real-time, including transactions, blocks, contract states, and event logs, through a high-efficiency indexing engine. It supports Layer 1 and Layer 2 networks (such as Arbitrum, Optimism), achieving comprehensive coverage of the Rollup ecosystem.
Modular Architecture
The Hyperdata Network adopts a modular design, divided into four layers: data collection, processing, storage, and access: Data Collection Layer: Synchronizes raw data from different public chains through nodes and crawler technology.
Data Processing Layer: Utilizes distributed computing and AI algorithms to clean, structure, and analyze data, generating usable datasets (such as transaction volume, Gas fees, NFT price trends).
Data Storage Layer: Ensures high availability and decentralization of data based on distributed storage (such as IPFS or Arweave).
Data Access Layer: Provides standardized data interfaces through APIs and SDKs, supporting developers for quick invocation.
Interconnectivity
The Hyperdata Network breaks down data silos between blockchains, supporting cross-chain data queries and aggregation. For example, developers can query DeFi protocol data on Ethereum and Solana at once, generating cross-chain asset analysis reports.
AI Integration
Chainbase combines AI technology (such as machine learning models) for in-depth analysis of on-chain data, providing predictive insights. For instance, predicting market trends based on historical transaction data, or optimizing dApp experience through user behavior analysis.
2. Technical FeaturesHigh performance and low latency
