I. Project Overview
Chainbase is the world's first hyperdata network built for deep integration of artificial intelligence (AI) and blockchain. The project was initiated by Chainbase Labs in Singapore in 2021, aiming to solve issues such as data fragmentation, lack of standardization, and high access barriers in the current Web3 ecosystem, providing high-quality, structured, and real-time accessible data infrastructure for AI applications.
Its vision is to become the data hub and connection bridge between AI and blockchain, building the underlying systems supporting the next generation of DataFi (Data Finance) and smart economy.
II. Technical Architecture and Protocol Design
1. Four-Layer Technical Architecture
Chainbase has built a powerful scalable and high-performance data infrastructure, consisting of the following four core layers:
Coprocessor Layer
Built on the Manuscript protocol, defining the cleansing, transformation, and standardization processes of on-chain raw data, making it directly usable by AI models.
Execution Layer
Utilizes Chainbase VM (CVM) and parallel scheduling engine to handle large-scale on-chain data requests, featuring high throughput and low latency.
Consensus Layer
Built on CometBFT, supporting instant finality, ensuring high security and rapid convergence of the network under decentralized conditions.
Data Accessibility Layer
Provides a unified data access entry point, including open API, real-time data dashboard, and batch download interface, optimizing the developer experience.
2. Dual-Chain Architecture Design
To meet the dual demands of performance and security, Chainbase adopts a 'dual-chain architecture':
Consensus Chain: Responsible for network consensus, built on CometBFT, handling inter-chain communication and validation logic.
Execution Chain: Handles data transformation and service requests, integrates EigenLayer AVS (Active Validation Service), supports dual staking (c-186/ + ETH/LST) to enhance economic security.
3. Manuscript Protocol
Manuscript is Chainbase's self-developed data standardization protocol, featuring the following characteristics:
Multi-Language Support (Rust, Golang, Python, etc.)
Pluggable Data Transformation Module
Composable Processing Flows (ETL, Aggregation, Indexing)
AI-Friendly Structured Output (e.g., JSON, Parquet, Vectors)
This protocol allows developers to process raw blockchain data into high-quality structured data, which can be directly applied to AI training, causal analysis, and reasoning tasks.
III. Token Economic Model (Tokenomics)
1. Basic Parameters
Parameter Values Token Name Chainbase ($C) Total Supply 1,000,000,000 Initial Circulation 160,000,000 (16%)
2. Token Distribution Structure
Category Proportion Purpose Description Ecosystem Incentives and Community Growth 40% for developer funding, integration rewards, ecosystem expansion Airdrop Rewards 13% to reward early users and ecosystem partners (Binance Wallet, OKX Wallet, etc.) Node Operation Incentives 12% to incentivize execution and storage nodes, ensuring data service stability Strategic Investors 17% including Tencent Investments, Matrix Partners China, etc., with a vesting period Team Incentives 15% locked for four years, incentivizing the core team for continuous development Liquidity Management 3% to support exchange listings and market making liquidity
IV. Core Advantages of the Project
1. Technical Advantages
Aspect Description Architecture Innovation The world's first data network combining coprocessor layer and dual-chain architecture Data Standardization Manuscript protocol provides structured data native interface for AI High-performance single chain daily processing capacity reaches 50 billion requests, with parallel processing capability Composability allows developers to implement complex data aggregation and intelligent processing through custom protocols Decentralized AVS + CometBFT + Dual Staking provide security and censorship resistance
2. Market Strategic Positioning
Linking AI and the Web3 world, becoming the 'data engine' for AI model training, operation, and inference;
Serves emerging sectors such as DataFi, DePIN, DeAI;
Connecting traditional on-chain analysis, Oracle, data markets, etc., forming differentiated complements with The Graph, Space and Time, Ocean Protocol, etc.
V. Project Progress and Data Indicators
1. Development Milestones
Achieved decentralized mainnet, entering fourth year of stable operation;
Completed Series A financing in July 2025, totaling $11.4 million;
Published the official Litepaper, clearly outlining the technology, architecture, and economic model;
Launched the testnet and integrated the EigenLayer AVS module.
2. Ecosystem Growth Indicators
Dimension Data Integration Number of Public Chains 220+ (including Ethereum, Solana, BNB Chain, Aptos, ICP, etc.) Daily average processed data query volume 600 million+ Developer community 31,000+ developers, 8,000+ projects AVS validator count 2,000+, total staked 581,075 ETH (≈ 1.96 billion USD) Genesis event wallet participation count 31 million, including 2 million long-term active wallets Twitter followers increased to 620,000 within 6 months Discord community grew from 3,755 to over 397,000 in one year
3. Strategic Cooperation Network
Partners: Solana, Near, ICP, BNB, Aptos, Sui, Polygon, io.net, Atheir, Flock.io, Carv, Gaia, Google Gemini, Google Cloud
Global Influence: Participated in 30+ international conferences, launched a global ambassador program with partners from 13 countries
VI. Investment Risks and Development Challenges
Risk Category Description Technical Risk The four-layer structure and dual-chain architecture introduce complexity and increased maintenance costs Competitive Risk Facing competitive pressure from on-chain data protocols such as The Graph, SubQuery, SxT Ecosystem Risk High dependency on AI projects; if the AI industry enters a downturn, demand may be affected Regulatory Risk Data accessibility and processing involve privacy and cross-border data compliance issues Token Liquidity Initial circulation only 16%, potential unlocking pressure needs to be monitored, caution against secondary market impact
VII. Conclusion: Strategic Value and Future Prospects of Chainbase
Chainbase is at the critical intersection of AI and blockchain integration, and its concept of 'structured on-chain data as a service' fills the data gap between current Web3 and AI. With the synergistic effects of technological architecture, ecosystem interactivity, and token economic system, Chainbase has the potential to become one of the core infrastructures of the decentralized data economy.
