Skip to main content

​
Overview

The Inflection DID system is a decentralized identity framework designed to empower users with portable, AI-enhanced economic profiles derived from stablecoin transactions. It establishes a Global Economic Identity Layer—a decentralized reputation graph that facilitates trustless financial interactions, such as credit assessment and lending, across blockchains. This theoretical documentation outlines the conceptual foundations of the system, focusing on:
  • Decentralized Identifiers (DIDs)
  • Verifiable Credentials (VCs)
  • Zero-Knowledge Proofs (ZKPs)
These ensure privacy, interoperability, and user sovereignty. By leveraging blockchain immutability and off-chain scalability, Inflection DID enables users to control their financial reputation and share it selectively with external protocols without centralized intermediaries. The system aligns with W3C DID and VC standards, ensuring compatibility with diverse blockchain ecosystems.

​
Key Concepts

  • Decentralized Identifiers (DIDs):
    Unique, user-controlled identifiers tied to cryptographic keys, enabling self-sovereign identity.
  • Verifiable Credentials (VCs):
    Cryptographically signed digital proofs of attributes (e.g., reputation scores), verifiable by third parties.
  • Zero-Knowledge Proofs (ZKPs):
    Cryptographic techniques to prove claims (e.g., “reputation > 200”) without revealing underlying data.
  • Reputation Graph:
    A network model of user interactions, where nodes are users and edges represent stablecoin transactions, used to compute economic profiles.

​
Benefits

  • Privacy: Selective disclosure via ZKPs protects sensitive data.
  • Interoperability: DIDs and VCs work across blockchains (e.g., Ethereum, Polygon).
  • Scalability: Off-chain processing for computation-intensive tasks.
  • Decentralization: Eliminates reliance on central authorities.

​
Target Audience

This documentation targets stakeholders, architects, and developers seeking a theoretical understanding of Inflection DID for planning and evaluation.