Chainbase ($C): A Technical Architecture for Hyper-data and AI
Chainbase positions itself as a fundamental data infrastructure for Web3, designed to serve as a hyper-data network.
The main goal is to aggregate, process, and verify massive volumes of data, both on-chain from multiple blockchains and off-chain, to power the next generation of decentralized and reliable artificial intelligence applications.
The $C token, in this ecosystem, functions as the native asset that aligns incentives and ensures the security and operation of the network.
Layered Technical Architecture
The Chainbase infrastructure is modular and divided into four distinct layers, each with a specific technical function:
Data Accessibility Layer: This is the entry layer, responsible for collecting and organizing raw data from various sources. The technical differentiator here is the application of Zero-Knowledge Proofs (ZKPs).
ZKPs allow the network to verify the authenticity and integrity of the collected data without needing to expose the content of the data itself. This ensures privacy and efficiency, enabling the platform to process sensitive information securely.
Coprocessing Layer (Manuscript): This layer acts as a data transformation engine. Developers can create and deploy Manuscripts, custom scripts for processing, filtering, and standardizing the raw data collected by the first layer. This model creates a marketplace for open data, where developers are rewarded with $C tokens each time their scripts are used by other applications, encouraging the creation of increasingly sophisticated and useful data processing tools.
It consists of two crucial elements:
Chainbase Virtual Machine: A high-performance virtual machine designed for large-scale parallel processing. This means that the CVM can execute multiple data processing scripts simultaneously.
