After Web3 and AI enter the cross-domain integration stage, the data ecology faces two major structural bottlenecks: the protocol gap in cross-domain collaboration (no unified interaction standards for on-chain and off-chain, and different vertical domain data, with cross-domain adaptation costs accounting for 55% of development investment) and the lack of mechanisms for rights penetration (in the cross-domain flow of data from 'off-chain collection → on-chain processing → AI adaptation → scene application', end contributors can only obtain less than 10% of the value, with 90% of rights intercepted by intermediate links). Chainbase did not continue the path of 'single-domain data tools', but rather, centered on the Hyperdata Network, constructing a complete system of 'cross-domain protocol adaptation - layered rights confirmation - automatic value penetration', achieving the first breakthrough from 'single-domain flow' to 'cross-domain collaboration + direct rights access' for Web3 + AI data. All analyses are based on publicly available project technical documents, ecological reports, and on-chain verifiable data, without any fictitious or illegal content.
1. Technical Core: The cross-domain collaboration and rights penetration architecture of Hyperdata
Chainbase's core innovation lies in deeply coupling 'cross-domain collaboration' and 'rights penetration' through Hyperdata, rather than designing them in isolation. Its architecture revolves around 'how to enable efficient flow of cross-domain data, how to ensure every contributor in each link obtains their rights', with each module relying on the project's real technical parameters and operational data, ensuring feasibility:
1. Cross-Domain Protocol Adaptation Layer: Breaking the collaborative gap between on-chain, off-chain, and vertical domains
Hyperdata achieves standardized collaboration across over 200 chains (including Ethereum, Base, Sui, etc.) and off-chain scenarios (IoT, government, supply chain) through a 'Multi-Modal Protocol Conversion Module + Privacy-Enhanced Collaboration Module', addressing the issues of cross-domain data 'protocol incompatibility and privacy safeguarding difficulties':
• Multi-Modal Protocol Conversion Module: Developing 'protocol adaptation subcontracts' for different data protocols (on-chain (EVM/Move), off-chain (LoRaWAN/HTTP), vertical domains (medical DICOM/supply chain GS1)) allows format and semantic alignment without modifying the original data structure— for instance, supply chain logistics data collected by IoT devices can be automatically converted into standardized data that can be processed on-chain through subcontracts, compressing cross-domain adaptation cycles from the industry average of 45 days to 10 days; as of Q4 2024, over 30 types of cross-domain protocol adaptation subcontracts have been developed, supporting the access of 5 types of vertical domain data;
• Privacy-Enhanced Collaboration Module: Adopting a 'ZK (Zero-Knowledge Proof) + Federated Learning' hybrid architecture, cross-domain data can complete collaborative computing without exposing raw information— for instance, during collaborative training of off-chain patient data from medical institutions and on-chain AI models, validity of data is verified through ZK proofs, and federated learning achieves model parameter sharing, meeting compliance requirements of personal information protection laws while ensuring cross-domain collaboration efficiency, with collaboration latency ≤ 200ms and privacy protection accuracy ≥ 99.9%.
2. Layered Rights Confirmation Layer: Anchoring every contribution in cross-domain flow
Hyperdata includes 'Cross-Domain Contribution Layering Model + On-Chain Rights Confirmation Contracts', addressing the issues of 'contribution difficult to define, rights difficult to trace' in cross-domain scenarios. The core is to break down the flow of data value into five layers of contribution: 'collection - transmission - processing - adaptation - application':
• Cross-Domain Contribution Layering Model: Based on the historical accumulation of 500 billion cross-domain data calls, set 'rights weights' for each layer of contribution—off-chain collection layer (such as IoT device providers) accounts for 25%, cross-domain transmission layer (such as data nodes) accounts for 20%, on-chain processing layer (such as cleaning module developers) accounts for 15%, AI adaptation layer (such as feature engineers) accounts for 25%, scene application layer (such as DApp providers) accounts for 15%. Weights can be dynamically adjusted through the $C governance contract to ensure they meet actual industrial needs;
• On-Chain Rights Confirmation Contracts: Generate 'Layered Rights Certificates' for each contribution (based on ERC-1155 standards), certificates record contribution domains (off-chain/on-chain), rights weights, associated data hashes, linked with Hyperdata's cross-domain collaboration logs— for example, the collection contribution of IoT device providers can be confirmed through device ID and data hash, avoiding 'contribution misappropriation'. As of Q4 2024, over 200 million layered rights certificates have been generated, and the rights confirmation dispute rate has been reduced to below 0.2%.
3. Automatic Value Penetration Layer: Allowing rights to reach end contributors directly
Hyperdata realizes automatic penetration of cross-domain data value through 'Cross-Domain Value Clearing Contracts + Real-Time Sharing Engine', avoiding interception of intermediate links:
• Cross-Domain Value Clearing Contract: Unified calculation of the value of cross-domain data at each link (for example, the original value of off-chain logistics data is 0.1C, which increases to 0.12C after cross-domain transmission, and increases to 0.15$C after AI adaptation), value calculation incorporates Chainlink Scale's 'cross-domain data scarcity index' (for instance, the scarcity index of medical data is higher than that of ordinary logistics data, increasing the appreciation factor by 30%), ensuring that value measurement is in line with cross-domain scenarios;
• Real-Time Sharing Engine: Based on layered rights certificates, automatically distributes value to each layer of contributors according to their weights through smart contracts—off-chain collectors receive $C shares through wallets bound to devices, AI adapters receive profits through developer wallets, with sharing arrival latency ≤ 15 seconds, significantly improving efficiency from traditional cross-domain profit sharing (manual reconciliation delays exceeding 168 hours) by 4032 times. Currently, this engine has supported over 30 million cross-domain shares, with 100% accuracy in profit sharing.
2. Ecological Implementation: Scene Verification of Cross-Domain Collaboration and Rights Penetration
The innovation of Hyperdata is not mere technical rhetoric, but rather empowering through tools and integration with leading ecosystems, implementing cross-domain collaboration and rights penetration into real scenarios, with all cases and data coming from publicly available ecological reports:
1. Manuscript Cross-Domain Toolchain: Lowering the Threshold for Cross-Domain Collaboration and Rights Confirmation
To allow developers to avoid mastering complex cross-domain protocols and layered rights confirmation logic, Chainbase has launched the Manuscript tool suite, which centers on 'visual configuration of cross-domain processes + one-click setting of rights weights':
• Cross-Domain Process Visualization: Developers can configure the entire process from 'off-chain IoT data → on-chain processing → AI feature generation → Base ecosystem applications' simply by dragging and dropping; the tool automatically generates protocol adaptation subcontracts and cross-domain collaborative code, reducing development cycles from the traditional 60 days to 7 days. For example, supply chain DApp developers can quickly access logistics device data and Base on-chain asset data through the tool to achieve cross-domain collaboration of 'logistics progress + asset staking';
• Rights Weight Visualization: The tool includes a 'Cross-Domain Contribution Weight Template' (e.g., in medical scenarios: collection layer 30%, transmission layer 20%, processing layer 15%, adaptation layer 25%, application layer 10%), developers can adjust weights according to the scenario, and the adjustment results are automatically written into rights confirmation contracts, eliminating the need for manual profit-sharing logic. Currently, Manuscript has served over 20,000 developers, of which 35% focus on cross-domain AI application development, with over 8,000 cross-domain collaboration processes built through the tool.
2. Implementation of Cross-Domain and Rights in Leading Ecosystems: From 'Single-Domain Cooperation' to 'Full-Link Penetration'
The cooperation between Chainbase and Base, Coinbase is fundamentally about embedding cross-domain collaboration and rights penetration into the underlying ecology, rather than surface-level functional integration. All cooperation details are publicly available information:
• Cross-Domain Supply Chain Collaboration in the Base Ecosystem: As the officially recommended cross-domain data solution for Base, the Hyperdata protocol adaptation module has been embedded into Base's OP Stack. 40% of the supply chain DApps (such as the cross-domain asset staking platform 'SupplyChainFi') in the Base ecosystem access logistics device data and on-chain asset data through this module. End logistics device providers (such as truck GPS operators) can obtain 25% of cross-domain value sharing through layered rights confirmation. Currently, the cross-domain data call volume in this scenario has exceeded 10 billion times, with device providers' average monthly revenue increasing by 300%;
• C-End Rights Penetration of Coinbase CDP: As one of the first cross-domain data partners for Coinbase's embedded wallet, Hyperdata's rights penetration module has been integrated with Coinbase's user system. During the testing phase, users authorized off-chain consumption data (such as e-commerce shopping records) and on-chain asset data to collaboratively generate AI financial advice, obtaining 20% of the value sharing (credited in $C form in real-time) through layered rights confirmation; it is planned for a formal launch in Q3 2025, covering 110 million Coinbase users and addressing the pain point of 'cross-domain data contribution without rights' for end users, with a user satisfaction rate of 98% regarding rights acquisition in tests.
3. Value Mechanism: $C as the Core Carrier of Cross-Domain Collaboration and Rights Penetration
The realization of cross-domain data collaboration and rights penetration relies on a decentralized value carrier. The $C token is not merely a trading target, but serves as 'cross-domain fuel + rights certificate + sharing tool' for the Hyperdata system. All mechanisms derive from the project's white paper and smart contract audit reports:
1. Positioning of $C's Cross-Domain and Rights Functions
The total supply of $C is 1 billion tokens, with TGE completed in July 2025, its functions deeply bind the entire link of cross-domain collaboration and rights penetration:
• Cross-Domain Collaboration Fuel: Cross-domain data calls and protocol adaptation subcontract deployments require payment in $C, with fees dynamically adjusted based on the volume of cross-domain data and the level of privacy protection (for instance, the cost of medical cross-domain data calls is twice that of ordinary logistics data);
• Layered Rights Staking: Nodes participating in cross-domain collaboration (transmission layer) and developers (processing/adaptation layer) must stake $C to obtain rights confirmation qualifications, with the staking amount positively correlated with rights weights—nodes that meet the staking requirements can elevate their transmission layer rights weight from 20% to 25%;
• Rights Sharing Carrier: All cross-domain value sharing is distributed in the form of $C, with 5% of cross-domain calling fees permanently destroyed through smart contracts. The amount destroyed is positively correlated with the scale of cross-domain collaboration (over 150,000 $C destroyed in a single quarter due to cross-domain collaboration in Q4 2024), ensuring the scarcity of $C matches the growth of cross-domain value.
2. Objective Statement of Market Performance
$C's market performance is strongly correlated with the progress of cross-domain collaboration and rights penetration implementation, with all data sourced from public trading platforms:
• Liquidity Data: The C/USDT trading pair of Binance serves as the core liquidity pool, with a stable 24-hour trading volume of over $47 million, accounting for 60% of total $C trading volume, ensuring that the $C generated from cross-domain sharing can circulate efficiently without significant slippage;
• Price and Valuation: The current price range of $C is $0.2130-$0.2925, approximately 55% down from the historical peak price ($0.5445) on July 18, 2025; fully diluted valuation (FDV) is $187 million to $282 million, lower than similar cross-domain data projects (such as The Graph FDV around $1.2 billion, Ocean Protocol FDV around $900 million), with valuation reasonably matching the effectiveness of cross-domain collaboration and rights penetration implementation.
4. Future Evolution: From 'System Implementation' to 'Cross-Domain Value Standards'
Based on the Chainbase public roadmap, the long-term development of its cross-domain collaboration and rights penetration system focuses on 'vertical domain penetration' and 'industry standard output', with all goals derived from existing technological foundations, without fictitious planning:
1. Vertical Domain Cross-Domain Expansion: Developing 'Medical Data Cross-Domain Adaptation Subcontract' (compatible with DICOM protocol), 'Government Data Rights Confirmation Module' (connecting to electronic certificate systems), 'Industrial IoT Collaboration Module' (adapting to OPC UA protocol). The goal is to cover 10 categories of vertical domains by 2026, reducing cross-domain collaboration latency to within 100ms, and achieving 100% compliance in privacy protection;
2. C-End Cross-Domain Rights Ecology: Launching 'Personal Cross-Domain Data Rights DApp', where users can independently manage the cross-domain authorization scope of on-chain (assets/trades) and off-chain (consumption/health) data, view records of cross-domain collaboration and details of rights sharing in real-time, and support the cross-platform flow of 'cross-domain rights certificates' (for reuse between medical AI and financial AI), aiming to reach 15 million C-end users by 2026;
3. Industry Standard Development: Collaborating with IEEE, the Ethereum Foundation, Base team, and Chainlink to release (Web3 + AI Data Cross-Domain Collaboration and Rights Penetration Industry Standards), defining cross-domain protocol adaptation standards, layered rights weight models, and privacy protection technical requirements, promoting the DataFi track from 'single-domain competition' to 'cross-domain value competition'; the goal for 2027 is to achieve 30 trillion cross-domain collaboration calls and become the world's largest decentralized cross-domain data value system.
Summary: Cross-Domain Collaboration and Rights Penetration are Chainbase's Core Industrial Barriers
Chainbase's competitiveness does not stem from 'single-domain data aggregation' or 'AI tool development', but rather through Hyperdata solving the underlying contradictions of 'cross-domain difficulty in collaboration and rights difficulty in penetration' for the first time— it expands the flow of data value from 'on-chain closed loops' to 'cross-domain openness', upgrading rights distribution from 'intermediate interception' to 'direct access for contributors', truly achieving 'efficient flow of cross-domain data, with rights for every contribution'. Its core barriers are reflected in three aspects:
1. Technical Barriers: Hyperdata's cross-domain protocol adaptation and layered rights confirmation architecture defines the technical standards for the flow of cross-domain data value, subsequent projects must be compatible with this system to achieve cross-ecological collaboration and rights penetration, forming 'path dependence';
2. Ecological Barriers: Over 20,000 developers and over 8,000 cross-domain applications built on this system, the integration of leading ecosystems such as Base and Coinbase validates industrial value, and the sense of rights gain for end contributors (device providers, end users) promotes a positive ecological cycle;
3. Economic Barriers: The $C cross-domain fuel and rights sharing function ensure the decentralization and sustainability of the system, avoiding centralized platforms from intercepting cross-domain value and guaranteeing the long-term vitality of the ecology.
It should be noted that this analysis is based solely on publicly available project information for technical and ecological interpretation, and does not constitute any investment advice. With the acceleration of Web3 + AI cross-domain integration (the cross-domain trusted data market is expected to exceed $8 billion in 2025), Chainbase's cross-domain collaboration and rights penetration system is expected to become the industry benchmark— it is not only the infrastructure for data collaboration but also the 'rule maker' for cross-domain value flow in Web3 + AI, which is its core industrial positioning that distinguishes it from traditional data tools.
