Metavisa Whitepaper
  • 👋Preface
  • 📈Decentralized Identity - Industry Overview
  • 💡Decentralized Identity - Challenges & Solutions
  • ✨What is Metavisa
  • 🔌Metavisa Embraces Decentralized Identity (DID)
  • ©️The Metavisa Ecosystem
  • ⚙️Tutorial
  • 👾Product Features - Profile
  • 👺Product Features - The EGO NFT
  • 🔰Product Features - The Search Engine
  • 💎Product Features - The Ecosystem
  • 🚀Technology
  • ⛓️Token Distribution
  • 🛣️Roadmap
  • *️Team Overview
  • ⁉️Q&A
Powered by GitBook
On this page

Technology

PreviousProduct Features - The EcosystemNextToken Distribution

Last updated 1 year ago

1. Summary

  • Credit is the core problem in Web3 and DeFi.

  • DID is the entrance to evaluate everyone’s credit.

  • SBT is the soul of DID that bonds security and privacy.

Metavisa links user’s credit to DID confidentially by ZKP tech to keep users’ privacy.

Metavisa binds the user's representative personal information to his/her DID through a combination of ZKP technology, software and hardware data encryption technology, and bio-private-key technology, and provides a callable API to verify the user's identity and related credit data while fully ensuring the user's privacy.

Metavisa links user’s profile to DID to provide an evaluation of transaction safety.

Metavisa’s data center has a fine-grained analysis of on-chain user’s data and behavior. With SBT and Metavisa Protocol, we binds the user’s behavior profile to his/her DID, making DID an important credential to reflect his/her behavior profile.

Metavisa provides the protocol that combines the two key functions above, that makes a major breakthrough in Web3 and DeFi.

2. Technology Architecture

3. Data Source / Commercialization / Data Model:

Data Source:

  • The original on-chain data from each public chain and Layer2.

  • Off-chain data and trust relationships.

Commercialization of Data: When considering commercialization, the value of data lies in whether the demanding party, either Party A or Party B, can be satisfied within the business parameters with data of certain value. Data models, not raw data, form the basis of data commercialization.

Data Structures Metavisa develops business-oriented data models (algorithms) to meet specific requirements. These data models utilize data collected from accessible sources, generating the desired results. Examples of such data models include user portrait analysis, data organization, and more.

🚀