Revenue Model & approach

Revenue model:

Transaction Fees: Charge a small fee ( using X token) for each transaction conducted on the platform.

- Premium Listings: Offer paid listings for enhanced visibility of AI models and datasets.

- Subscription Services: Provide subscription access to premium features, such as advanced analytics, additional storage, or exclusive models.

- Monetisation through tokens similar to the graph ecosystem.

• Token incentives for devs

• Token incentives for curators

• Token incentives for indexers

• Token scheme for RPC providers

Platform economy - Working model

Similar to how the graph works currently, EtherMind will work use a similar model to facilitate the working, promotion, maintenance and decentralization of the marketplace:

Developer

• The developers would publish their AI modes on the platform.

• Incentives - DeAI points/eclipse tokens

Curator

• The curators will make sure they test, maintain and keep the quality up-to-date

• Incentives - DeAI points/eclipse tokens

Indexer/node partners

• The indexers will make sure they maintain the infra ( the ideal approach would be to have decentralized multiple partners running indexers like in the graph)

• Incentives - Indexing solution ( delegation, & staking rewards)

USP:

Node providers (dRPC)

• A new category in DePin where we would also invite and incentivise the node providers to provide

• Incentives - Indexing solution ( delegation, & staking rewards) and pay-per-use model

Strategic approach:

• Differentiation: Focus on unique features such as enhanced privacy, specialized AI model categories, or superior user experience to stand out.

• Community Engagement: Build a strong, engaged community of AI developers and data scientists. Offer incentives for quality contributions and active participation.

• Partnerships: Form strategic partnerships with academic institutions, research organizations, and industry leaders to enhance credibility and attract users.

• Simplicity and Accessibility: Ensure the platform is accessible to users with varying levels of technical expertise. Offer educational resources and support to ease the adoption process.