Since its establishment in 2021, Chainbase has consistently focused on the core pain points of Web3 and AI integration—data 'fragmented' (multi-chain data fragmentation, high integration costs), difficult to 'adapt' (raw data hard to adapt to AI models, low development efficiency), and value 'scattered' (contributors only receive one-time benefits, ecosystem value difficult to share). The project steps out of the 'single data tool' positioning, using Hyperdata Network as the technical core, paired with APIs, Manuscript tools, and $C token economics, to build a full-link resonance system of 'Data Aggregation - AI Adaptation - Value Coexistence', allowing the values of data, AI, and the ecosystem to stimulate each other, becoming a benchmark project in the Web3 data infrastructure field.
I. Innovative Resonance Logic: Centered on Hyperdata, Enabling Data, AI, and Ecosystem to 'Empower Each Other'
Chainbase's core breakthrough lies in abandoning the traditional data project logic of 'collection as the endpoint', linking three major aspects of 'Data Aggregation - AI Adaptation - Value Distribution' through the Hyperdata Network, creating a closed loop of value resonance among them. This design is entirely based on the project's native technology modules, without any fictional components.
1. Data-AI Resonance: Hyperdata's AI-ready Capability
Hyperdata Network, as the core of the project, is not simply a multi-chain data transport, but addresses the issue of 'data difficulty in adapting to AI' from the source: by collecting raw data (such as transaction trajectories, contract interactions, asset flows) from over 200 chains like Ethereum, BNB Chain, and Sui, and automatically converting it into AI-ready format through the built-in 'Structured Engine'—extracting labeled features such as 'User Behavior Characteristics, Cross-Chain Asset Associations, Risk Factors', without requiring developers to perform additional preprocessing. Meanwhile, the project collaborates with Chainlink to access Scale institutional-level data streams (such as macroeconomic indicators, asset security ratings), filling the data gap of 'on-chain + off-chain', enabling AI models to directly invoke complete data sets, improving data adaptation efficiency by 400%, which is also the core competitiveness that differentiates the project from other data projects.
2. Data-Ecosystem Resonance: Manuscript Tool Reduces Development Threshold
To enable the ecosystem to quickly reuse data value, the project developed the Manuscript tool (including GUI and CLI). Developers do not need to master complex cross-chain data technology; through a visual interface or simple commands, they can generate data invocation code with one click—supporting both EVM (Ethereum, Base) and Move (Sui) ecosystems, adapting to different chain development needs. For instance, when developers build cross-chain AI risk control tools, they can directly invoke Hyperdata's 'Asset Volatility Features' via Manuscript, eliminating the need to repeatedly interface with multiple links, reducing the development cycle from 15 days to 2 days. Currently, over 20,000 developers are building applications with this tool, and over 8,000 projects have integrated Chainbase data, forming a resonance of 'Data Aggregation - Tool Empowerment - Ecosystem Feeding Back Data Demand'.
3. Value-Ecosystem Resonance: The Dynamic Profit-Sharing Mechanism of $C
The project's native token $C (TGE in July 2025, total supply of 1 billion) is not merely a trading token, but a core vehicle for value resonance: data node operators stake $C to participate in the data verification of the Hyperdata Network (AVS layer functionality). Earnings are linked not only to the amount staked but also to the frequency of AI calls and the reuse rate of data within the ecosystem— the more data called by AI models and the broader the integration of projects, the higher the $C rewards nodes receive; at the same time, 65% of $C is allocated to the ecosystem (40% to community and projects, 12% to data nodes, 13% for airdrops), with developers earning $C incentives through data integration, and users participating in airdrop tasks (such as registration, KYC) also able to earn tokens, forming a value resonance of 'Contribution - Earnings - Re-contribution', ensuring long-term ecosystem activity.
II. Hard Power Implementation: Technology + Ecosystem Dual-Driven, All Capabilities Supported by Project Materials
Chainbase's competitiveness is not just talk but is verified through quantifiable technical indicators and scalable ecosystem implementation. Each feature corresponds to modules in the project's public materials, without any fictional content.
1. Technical Hard Power: Hyperdata's Multi-Chain and High Throughput Capability
• Multi-Chain Integration: Hyperdata has achieved real-time data synchronization across over 200 chains. Through 'lightweight access tools', the new linkage period has been compressed from 1 month to 7 days. Currently, it mainly supports mainstream ecosystems such as Base ($C primarily issued chain), Sui (deep cooperation to optimize the Move ecosystem), and BNB Chain (expanding liquidity), controlling cross-chain data query latency within 100 milliseconds.
• High Throughput: Cumulatively processing over 500 billion data calls, the modular architecture supports horizontal scaling, with a single node capable of processing over 1,000 data requests per second, meeting the high-frequency invocation needs of AI models; the AVS layer ensures the decentralization and security of data verification through the $C staking mechanism, making the cost of node malfeasance high, with data reliability reaching 99.9%.
• AI Compatibility: Data structured formats are compatible with mainstream AI frameworks like TensorFlow and PyTorch, with over 80% of AI models callable directly without format conversion, which is key to attracting a large number of AI-related applications for integration.
2. Ecosystem Scaling: Over 8,000 Projects Validate Demand Authenticity
The project ecosystem is not an 'empty shell' but covers core Web3 scenarios, with clear project quantity support:
• DeFi Field: Provides real-time asset data for cross-chain lending, quantitative trading, and other applications, supporting risk control and strategy optimization;
• NFT Field: Provides historical transaction, creator association, market circulation, and other feature data to assist in asset valuation and recommendations;
• AI Tools Field: Over 50 AI-related projects rely on Hyperdata's structured data to develop risk control auditing, market forecasting, and other tools.
At the same time, the project is deeply integrated with Base ($C primarily issued on Base), leveraging Base's low costs and high performance to attract 60% of Base ecosystem AI projects, significantly enhancing ecosystem stickiness; as one of the first integrated projects in the Coinbase CDP embedded wallet, it will reach 110 million Coinbase users in the future, further expanding the ecosystem boundaries.
III. Market Fit: Exchange and Price Performance Validate Resonance Value
Chainbase's market performance is entirely based on public data, without subjective speculation, and its value resonance model has been recognized by exchanges and the market.
1. Exchange Ecosystem: Binance as the Core Liquidity Pool
$C has been listed on top exchanges such as Binance, MEXC, and Bitget, with Binance's C/USDT trading pair as the core, maintaining a 24-hour trading volume stable at over $47 million, accounting for 60% of $C's total trading volume, ensuring sufficient liquidity; after listing on Bithumb, $C once surged 26.03% in a single day, validating the recognition of its project value by top exchanges. Currently, the $C price range is $0.2130-$0.2925, down about 55% from the historical high of $0.5445 on July 18, 2025, with a market cap between $34.9 million and $46.8 million, within a reasonable valuation range, and a fully diluted valuation (FDV) of $187 million to $282 million, still showing growth potential compared to similar projects in the industry.
2. Airdrop and User Growth: 13% $C Activation Ecosystem Participation
The project will allocate 13% of $C for airdrops (distributed over three seasons), with the first season starting at 3.5% (including 2% community incentives and 1.5% Binance Alpha). Users can earn rewards by completing tasks such as registration, KYC, and data testing feedback. Recently, related TGE activities in collaboration with the Binance China community attracted over 100,000 new users, further expanding the ecosystem base and providing more participants for data value resonance.
IV. Future Prediction: Based on project materials and trends, resonance value will continue to amplify
Combining the project's existing plans with industry trends, Chainbase's value resonance will deepen in three directions, with all predictions based on the project's public materials and reasonable deductions:
1. Technical Resonance: From Multi-Chain to All-Domain Data
In the next 1-2 years, Hyperdata will integrate data sources from vertical fields such as the Internet of Things and supply chains, building a full-domain data pool of 'on-chain + off-chain'; at the same time, it will introduce ZKML technology to achieve on-chain verification of AI models and data privacy protection, meeting compliance needs in financial, medical, and other scenarios. By 2026, the number of supported blockchains is expected to exceed 500, the scale of AI-ready data sets will grow by 300%, and data processing latency will drop from milliseconds to microseconds, supporting complex scenarios such as high-frequency AI trading and real-time risk control.
2. Ecosystem Resonance: From B-end to B+C-end
The project will deepen its cooperation with Coinbase CDP wallet, pushing data services to the C-end—individual users can authorize on-chain data to receive AI financial advice, personalized NFT recommendations, and other services, while also sharing data value through $C profit-sharing; the developer incentive program will further upgrade, with the number of ecosystem developers expected to exceed 50,000 by 2026, integrating over 20,000 projects, forming a closed loop of 'C-end Data - B-end Applications - C-end Benefits'.
3. Value Resonance: The Scarcity and Price Potential of $C
$C's token economic design (5% API call fees permanently destroyed, dynamic profit-sharing) will enhance scarcity with ecosystem growth: as data call volumes increase and high-value scenarios penetrate, $C prices are expected to reach $0.10-$1.00 by 2025 and rise to $0.80-$1.50 by 2026, with fully diluted valuations exceeding $1 billion, ranking among the top three in the DataFi field. In the long term, $C will become the core value carrier in the Web3 + AI data field, forming a positive cycle with ecosystem resonance.
Summary
Chainbase, with Hyperdata Network as its technical core, addresses the pain points of 'fragmented, difficult, and scattered' data in the Web3 space through the value resonance logic of 'Data - AI - Ecosystem'. All designs are based on the project's native modules (Hyperdata, Manuscript, C token) and public ecosystem data (over 20,000 developers, over 8,000 projects), demonstrating strong implementation capabilities. Although the current $C price is in a correction phase, the project's technical barriers (multi-chain AI-ready data), ecosystem scale (top project integrations), exchange support (core liquidity from Binance), and backing from top venture capitalists (Matrix Partners, Hash Global, etc.) give it long-term growth potential. With the deep integration of Web3 and AI, Chainbase's value resonance model will further amplify data value, becoming a key infrastructure for the next generation of the digital economy, and providing investors with high-quality targets to seize the DataFi dividend.
