2025-08-30
By 2025, the compliance sandbox of Hong Kong HashKey Exchange can improve the efficiency of on-chain data verification by 300% and reduce the risk of data leakage by 99% by integrating zero-knowledge proof (ZKP) and FL technology. As the core infrastructure of Web3, data monetization reconstructs the data ownership and value distribution mechanism through blockchain technology, enabling individuals, enterprises and developers to directly participate in the value creation of the data economy.
The core of Web3 data monetization is to achieve tamper-proof records of data ownership through blockchain. For example, Ocean Protocol's DataToken mechanism allows users to tokenize datasets such as medical data and consumer behavior. A certain health DApp sells the right to use personal health data in the form of NFTs through this technology, with data owners receiving 70% of the profits, while traditional platforms only allocate less than 5%. After integrating such technologies with HashKey Exchange's DeFi aggregator, the efficiency of cross-chain transaction strategy formulation has been improved by 200%, and the cost of data usage has been reduced by 50%.
Decentralized data market automates transaction processes through smart contracts. Chainbase's dual-chain architecture (compatible with streaming/batch processing sources) processes 600 million data queries per day. Developers can pay fees through C tokens, and data contributors earn income based on usage. A Financial Institution obtains on-chain transaction data through this platform, and the accuracy of the credit scoring model has increased to 92%, reducing data procurement costs by 60%. Zero-knowledge proof (ZKP) combined with AI has given birth to zkML (Zero-knowledge Machine Learning). A medical DApp verifies user health data through zk-SNARKs, achieving insurance claims automation without data leaving the domain. The processing cycle has been shortened from 15 days to 72 hours.
Token incentives are the core driving force for data monetization. Livepeer's LPT token staking mechanism allows users to participate in video transcoding by contributing GPU computing power. By 2025, users can process 28 million minutes of video streams per day, with an annualized return rate of 12-18% for stakers. A certain content platform has reduced video storage costs by 80% and increased creator revenue by 300% through this technology. Filecoin's storage proof mechanism ensures data availability. A company has reduced storage costs by 70% and increased data recovery speed by 500% by storing supply chain data through Filecoin.
The AMM mechanism of Ocean Protocol supports dynamic pricing of Data assets. An advertising company purchased user behavior data through this platform, and the ad conversion rate increased by 40% and the data procurement cost decreased by 50%. Chainbase's Theia AI model is trained based on verified data. In the DeFi risk scoring scenario, the model's perplexity is reduced by 30% compared to GPT, and the prediction accuracy is 91%. After integrating such technologies into the risk control system of HashKey Exchange, the suspicious transaction block rate increased to 99.7% and the verification time was shortened to 1.2 seconds.
The combination of IPFS and The Graph solves the problem of data storage and querying. A scientific research project uses IPFS to store experimental data hash, and The Graph indexes it to achieve millisecond-level retrieval, reducing the risk of data leakage by 99%. The combination of FL and IPFS has given rise to distributed AI training. A certain autonomous driving company collaboratively trains models through edge nodes of 1000 cars, with data not in the domain and training speed increased by 400%.
The combination of Zero-Knowledge Proof (ZKP) and FL achieves data availability but invisibility. A certain Financial Institution verifies user credit scores through zk-SNARKs, with data not in the domain and an accuracy rate of 92%. The compliance review cycle has been shortened from 2 weeks to 3 days. After integrating such technology into HashKey Exchange's compliance sandbox, Cross-border transfer compliance has increased by 95%, meeting the strict requirements of the Hong Kong Securities and Futures Commission for data privacy.
AI agents can automatically optimize data trading strategies. A certain DAO analyzes on-chain data through GPT-4, automatically adjusts the selling price of data, and increases profits by 30%. ZkML (Zero-Knowledge Machine Learning) allows AI models to run on encrypted data. A certain medical DApp verifies genetic data through zk-BNNS, with a diagnostic accuracy of 95% and zero data leakage.
Web3 development framework begins to integrate regulatory compliance functions. The "compliance sandbox" module of a certain framework automatically generates KYC reports that comply with the requirements of the Hong Kong Securities Supervision Commission. HashKey Exchange's DeFi product shortens the compliance review cycle from 2 weeks to 3 days through this tool. FL combined with differential privacy, a certain e-commerce platform reduces the risk of data leakage by 99% when analyzing user preferences, while meeting GDPR requirements.