ZkPass Expands Data Verification Capabilities With Over 200 Data Models

According to BlockBeats, on September 1, zkPass, a privacy data verification protocol, announced that it now offers more than 200 data models from over 70 verified network data sources. Utilizing the zkTLS oracle protocol, users can locally generate zero-knowledge proofs (ZKP) for any private data within their browser, ensuring both privacy and data integrity. The data sources verified by zkPass span a wide range of categories, including financial institutions, e-commerce, social media, and online education. Some examples include ANZ Bank, Amazon, cryptocurrency exchanges, ChatGPT, Coursera, Delta Airlines, Duolingo, Ferrari, Hilton, MyGovID, PayPal, Quora, Reddit, Samsung, Shopee, Starbucks, TikTok, Trip, Upwork, eBay, and Uber. These web-based proofs can be applied to various scenarios, unlocking more real-world applications. By redesigning network effects and building new economic models, zkPass aims to bring more Web2 users into the Web3 ecosystem.