# Data Provider ### Introduction OpenVision Labs recognizes the invaluable contributions of data providers in advancing the field of AI-powered humanoid robotics. To incentivize and reward users who submit eligible video-based data through the OpenVision mobile app, we have introduced a comprehensive rewards system powered by $VISION tokens. ### Reward Mechanism #### $VISION Tokens * Incentives: $VISION tokens are the official cryptocurrency used within the OpenVision ecosystem to reward data providers for their contributions. * Value and Utility: $VISION tokens hold inherent value and can be utilized for various purposes within the OpenVision platform, such as accessing exclusive features, participating in governance decisions, and redeeming rewards. #### Dual Reward Sources * AI Researcher Contributions: AI researchers and engineers who benefit from the submitted video data acknowledge the efforts of data providers by directly contributing $VISION tokens as rewards. * Incentive Pool: OpenVision Labs maintains a dedicated Incentive Pool that allocates a portion of $VISION tokens to reward data providers, ensuring a consistent and sustainable reward system. #### Eligibility and Distribution * Data Eligibility: To qualify for rewards, submitted video data must meet the specified criteria set by AI researchers, ensuring the quality and relevance of the data for AI training purposes. * Reward Distribution: $VISION token rewards are automatically distributed to eligible data providers' wallets within the OpenVision mobile app, providing a seamless and transparent reward experience. * Reward Proportionality: The number of $VISION tokens awarded to data providers is proportional to the quality, quantity, and value of the submitted video data, incentivizing users to contribute high-quality and diverse data sets. ### --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://whitepaper.openvision.network/what-we-are-building-for-.../data-provider.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.