OOPZ Oracle of Preferences ZK by Virtuals NO.4644
$0.001
$-0.0002
-19.32%
24H最低  $0.001 24H最高  $0.001
更新时间:2025-08-18 17:34:13
OKX欧易app

OKX欧易app

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火币HTX

火币HTX

全球三大交易所之一,新人注册火币享241 USDT新人礼包!

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时间
涨跌幅
1小时
0.82
24小时
-19.32%
7天
29.91%
14天
107.07%
30天
124.97%
时间
涨跌幅
1小时
0.82%
24小时
-19.32%
7天
29.91%
14天
107.07%
30天
124.97%
OOPZ stands at the forefront of the InfoFi revolution as the first fully AI-driven, privacy-first preference oracle utilizing zero-knowledge proofs to create monetizable digital twins. By establishing a decentralized information finance network, OOPZ fundamentally transforms how preference data is collected, analyzed, and monetized globally. This creates an entirely new asset class of information-backed financial instruments, establishing a paradigm shift in preference prediction, market intelligence, and financial data ownership. Core Capabilities - InfoFi-Powered Digital Twins: Users train personalized AI agents that evolve into information-rich digital representations of their preferences, enabling passive income generation through the OOPZ information finance ecosystem - Zero-Knowledge Privacy Infrastructure: Institutional-grade cryptographic protocols that verify data authenticity without exposing actual user information, creating a trustless InfoFi marketplace - Blockchain-Powered Financial Layer: Instant cross-border crypto micropayments with multi-chain compatibility that incentivize accurate responses and enable participation from traditionally underrepresented regions in global financial markets - Proprietary Preference Mining System: Patented methodology for extracting high-value preference signals from conversational interactions, creating a defensible moat of InfoFi assets - Self-Improving Intelligence Network: Digital twins continuously refine through interactions, increasing prediction accuracy over time and appreciating in value as financial information assets - Decentralized Prediction Market Integration: Community-driven speculation based on aggregated preference data, creating additional utility, engagement, and revenue streams within the InfoFi ecosystem

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