One, Technical Architecture: Three Core Pillars Supporting the Data Value Network

1. Decentralized Data Network Foundation

Chainbase adopts **distributed ledger technology** to ensure data integrity, with all transaction and query records executed via smart contracts for transparent auditing. Its **dual-chain architecture** (main chain + side chain) design balances performance and security:

- Main chain: Handles core tasks such as token transfers and node staking;

- **Side Chain**: Supports high concurrency data querying and AI model training, with TPS (transactions per second) reaching tens of thousands.

2. **Native AI Integration and Cross-Chain Interoperability**

Through the **on-chain native AI module**, Chainbase transforms raw blockchain data into structured information (e.g., transaction pattern prediction, address risk scoring), empowering scenarios like DeFi and GameFi. It also supports data interoperability with mainstream public chains like Ethereum and Solana, breaking ecological silos.

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Two, Token Economic Model: Value Capture Mechanism of C Tokens

1. **Token Distribution and Destruction Mechanism**

- **Constant Total Supply**: The total supply of C tokens is 1 billion, with no plans for additional issuance, combating inflation through a destruction mechanism;

- **Distribution Ratio**:

✅ 40% for ecological incentives (data providers, developers);

✅ 25% allocated to teams and consultants (4-year linear unlocking);

✅ 20% allocated to institutional investors (e.g., Tencent, Matrix Partners China);

✅ 15% for community airdrops and market operations.

2. **Revenue Distribution and Governance Rights**

- **Data Query Fees**: 80% of fees paid by users are rewarded to node operators, 15% allocated to data developers, and 5% destroyed;

- **Governance Voting Rights**: Token holders can participate in key decisions such as protocol upgrades and fee adjustments, achieving DAO governance.

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### Three, Application Scenarios and Ecological Cooperation

1. **Core Use Case Analysis**

- **DeFi Data Services**: Providing real-time on-chain liquidity analysis for DEXs to help optimize market-making strategies;

- **AI Training Infrastructure**: Open on-chain data interfaces to support machine learning model development (e.g., address behavior prediction);

- **Cross-Chain Asset Bridging**: Achieving cross-chain exchange of assets like BTC, ETH, and C tokens through the Meson protocol.

2. **Strategic Partners**

- **Capital Providers**: Institutions such as Tencent and Matrix Partners China provide funding and resource support;

- **Technical Alliance**: Collaborating with TrustaLabs to develop anti-fraud models and co-building on-chain content ecology with Zora.

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### Four, Participation Path and Risk Warning

1. **Potential Risk Warnings**

- **Regulatory Uncertainty**: Compliance policies for data-related tokens are not yet clear in various countries, posing legal adjustment risks;

- **Technical Challenges**: Cross-chain interoperability and AI model accuracy still require long-term validation.

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### Five, Future Outlook: Breakthroughs in Data Assetization

Chainbase is constructing the 'Data Nasdaq' for the Web3 era through a **data rights confirmation + token incentive** model:

- **Short-term** (2025): After the mainnet launch, focus on landing in the DeFi and AI fields, aiming to onboard over 1000 developers;

- **Long-term** (2030 Vision): Become a standard protocol for cross-chain data exchange, promoting on-chain data GDP to exceed $100 billion.