Use Cases

This page discusses some of the use cases that Litentry unlocks

Litentry's identity oracle, aggregation, and privatized verifiable credentials protocol can be useful in several situations. Some of them include:

Frictionless Onboarding and Identification Processes

It allows users to leverage existing verified credentials for streamlined onboarding experiences across dApps and services. This eliminates the need for repetitive identification checks.

Decentralized Identity Aggregation and Management

The protocol can aggregate identity information from multiple sources, providing a comprehensive view of a user's identity. This is useful for applications requiring identification (e.g. web2 or web3 identity) processes, as it simplifies verification by pulling data from various verified sources. It also enables users to manage multiple digital identities across different blockchains from a single platform. This helps in maintaining privacy and security, as users can control their identity data and share only what is necessary.

Trust and Reputation Systems

By aggregating identity data, the Litentry protocol can help build robust reputation systems. For instance, in decentralized finance (DeFi), lenders can assess the creditworthiness of borrowers based on their aggregated identity and transaction history from multiple platforms.

Cross-chain Identity Verification

Litentry supports cross-chain identity verification, which means it can verify identities across different blockchain networks such as Substrate, EVM, BRC 20, etc. This is crucial for applications and services that operate in a multi-chain ecosystem.

Proof of Humanity Beyond AI Bias

As bots and AI disrupt online spaces, PoH empowered by Litentry verifies real users through human challenges, preventing fake accounts and Sybil attacks that manipulate systems. Litentry can empower users to choose interactions only with verified individuals, enhancing security and trust in online platforms like marketplaces and social media.

Credit Scores By providing a complete and thorough picture of a user's trading history, asset values, and borrowing behavior, we can provide credit scores. This increases the eligibility for under-collateralized lending and other reputation-based benefits or provides risk insights for partners.