Token Utility

• Payments for AI-driven services In a blockchain-based AI ecosystem, tokens can serve as the primary medium of exchange for accessing AI-driven services. Users pay for services such as AI model training, data analysis, or API usage using the ecosystem’s native token. Service providers (e.g., AI developers or platforms) list their offerings on a decentralized marketplace. Users purchase tokens on a crypto exchange or earn them within the ecosystem and use them to pay for services. Smart contracts automate the payment process, ensuring transparency and security. A decentralized AI platform might allow users to pay tokens to access a machine learning model for image recognition. The tokens are transferred to the service provider via a smart contract.

• Staking and governance within the ecosystem $MRP can be staked (locked up) by users to participate in the governance of the AI ecosystem. Staking often grants voting rights on decisions such as protocol upgrades, resource allocation, or the approval of new AI models. A decentralized AI platform might allow token holders to vote on which AI projects receive funding or which new features are prioritized. Stakers may also earn rewards (e.g., additional tokens) for their participation.

• Rewards for participation in AI development Can be used to incentivize users to contribute to AI development, such as providing data, training models, or validating AI outputs. This creates a decentralized, community-driven approach to AI innovation. A platform might reward users with tokens for labeling datasets used to train AI models. Another example is rewarding developers for creating open-source AI tools that benefit the ecosystem.

• Access to premium AI features on blockchain Key to unlock premium or exclusive AI features within the ecosystem. This creates a tiered system where token holders gain access to advanced capabilities not available to non-holders. A blockchain-based AI platform might offer basic AI tools for free but require users to hold or spend tokens to access advanced features like real-time predictive analytics or proprietary AI models.