The Identity Graph

Understand how People Index maps cryptographic relationships between employers, professionals, and credential issuers.


Network Topology

Traditional HR systems operate in data silos. If an employee works at Google, then moves to Apple, Apple's ATS has to manually assess the employment with Google via a third-party background checker.

The People Index Identity Graph solves this by mapping nodes and edges cryptographically on a decentralized ledger network.

  • Nodes: Decentralized Identifiers (DIDs) representing people, corporations, or universities.
  • Edges: Verifiable Credentials (VCs) representing a claim made by one node about another.

Traversing the Graph

When you use our API to score a candidate's professional trust, you aren't waiting 3 days for a human to make a phone call. Our engine traverses the Identity Graph in milliseconds.

traverse-graph.ts
// Requesting graph traversal for a specific claim
const proof = await idx.graph.traverse({
  subjectDid: "did:web:peopleindex.ai:user:123",
  targetClaim: "EMPLOYMENT",
  issuerFilter: ["did:web:acme.corp"]
});

console.log('Graph Edge Confirmed:', proof.verified);
Privacy Preserving
The Identity Graph utilizes Zero-Knowledge Proofs (ZKPs). This means an edge can be cryptographically proven to exist without revealing the underlying raw data (e.g., proving someone earns over $100k without revealing the exact salary).