Sustainable Development Mechanism

The ZenithRing ecosystem ensures the long-term value of $ZEN tokens through a deflationary model and cross-ecosystem collaboration, promoting the widespread application of health data and forming a virtuous cycle of health management, data markets, and AI research.

Deflationary Model

To ensure the long-term value growth of $ZEN tokens, ZenithRing adopts a dual deflation mechanism, reducing token circulation through transaction fee burns and node governance penalties, enhancing market scarcity.

• Transaction Fee Burn: Within the health data market, each transaction incurs a 2% fee, with 50% used to repurchase and burn $ZEN, reducing market circulation and stabilizing the ecosystem's economic model.

• Node Penalty Mechanism: If DePIN nodes are found to be malicious (e.g., falsifying data, refusing to provide storage or computation services), their staked $ZEN tokens are partially or fully confiscated and sent to a burn address, ensuring the fairness and credibility of the DePIN ecosystem.

Additionally, as the ecosystem expands, ZenithRing plans to introduce a smart contract automatic burn mechanism, dynamically adjusting the burn ratio to adapt to the growth in data market transaction volume, ensuring the long-term stability of the token economic model.

Cross-Ecosystem Collaboration

ZenithRing collaborates with insurance, medical, and academic research institutions to expand the practical application scenarios of health data, allowing users to enjoy more direct real-world benefits while contributing data.

• Insurance Alliance: ZenithRing plans to partner with global insurance companies like AIG and Ping An, allowing users to authorize health data (e.g., daily steps, heart rate, exercise habits) in exchange for insurance premium discounts or policy optimization. For example, users who meet daily step goals can receive a 5% insurance discount, encouraging healthier lifestyles while enhancing data value.

• Research Institution Access: ZenithRing opens its decentralized anonymized health data pool to renowned medical research institutions like Harvard Medical School, Mayo Clinic, and Stanford AI Health Lab, supporting the development of AI disease prediction models. Users can choose to contribute data to research institutions and earn $ZEN token shares based on their contribution, ensuring privacy while advancing medical AI.

AI Health Market: ZenithRing will further expand collaborations with AI companies, enabling health data to be used in personalized health recommendations, AI fitness coaching, and chronic disease management. Long-term data contributors can enjoy additional profit-sharing.