DataFi is a privacy-preserving data asset infrastructure that aims to allow users to benefit from their own data. In the current web2 and web3 worlds, the value of users' data has not genuinely flowed to the users. DataFi addresses this issue through the following methods:
Allowing users to have more data than others by aggregating a person's various on-chain wallet addresses and off-chain platforms (such as Twitter, Discord, GitHub), creating a comprehensive user profile. Using Zero-Knowledge Proof (ZK) technology, allowing users to aggregate on-chain and off-chain data and generate valuable user profiles without revealing account associations. The core component of DataFi is divided into four layers: Credential Discovery Layer, ZK Computation Layer, User Identity Layer, and User Profile Data Layer. Data curators define valuable credentials based on B-end demand. Users can claim the corresponding credentials when they meet the requirements. With the ZK proof generated by the ZK calculation layer, users can prove that they own a particular credential without disclosing any actual account information. The user identity layer and user profile data layer provide data and application services to developers through APIs to meet the actual needs of the project side.
In DataFi's economic model, Projects need to pay for user data when using products. The majority of the fees are returned to users, with a portion rewarding application developers and data curators. As a result, the project side can capture the attention of target users, and users can earn rewards by providing their data.
DataFi是一个保护用户隐私的数据资产化基础设施，旨在使用户从自己的数据中获益。在现有的web2和web3世界中，用户的数据价值并没有真正流向用户。DataFi通过以下方法解决这个问题：
让用户拥有比其他人更多的数据，如把一个人不同链上的钱包地址和链下平台（如Twitter、Discord、GitHub）聚合在一起，构建丰满的用户画像。 使用零知识证明（ZK）技术，让用户在不透露账户关联性的情况下，聚合链上链下的数据并生成有价值的用户画像。 DataFi的核心组件，分为四个层：凭证发现层、ZK计算层、用户身份层和用户画像数据层。数据策展人在B端需求基础上，定义具有价值的凭证。用户可以在满足条件后，领取相应的凭证。通过ZK计算层生成的ZK proof，用户可以在不透露实际账户信息的情况下证明自己拥有某个凭证。用户身份层和用户画像数据层通过API为开发者提供数据和应用服务，以满足项目方的实际需求。
在DataFi的经济模型中，B端在使用产品时需要支付用户数据的费用，费用主要归还给用户，部分用于奖励应用开发者和数据策展人。这样一来，项目方可以获取到目标用户的注意力，而用户则能通过提供自己的数据获得报酬。