Data Reference
Enigma models every U.S. business as a graph of interconnected entities — brands, locations, legal structures, and people — powered by graph-model-1. Each entity carries attributes (observed facts), derived metrics (computed aggregations like card transaction revenue), and relationships to other entities.
Entities
These four entities are the primary entry points. They connect to supporting entities like Address, Email Address, Industry, Phone Number, Registered Entity, Registration, Review Summary, Role, Taxpayer Identification Number (TIN), Watchlist Entry, Website, and Website Content through relationships.
What data is available?
Each entity has three kinds of queryable data, each gated by pricing tier:
| Data Type | What it is | Example |
|---|---|---|
| Attributes | Observed facts about the entity | Brand name, operating status, address fields |
| Derived Metrics | Computed aggregations from source data | 12-month card revenue, YoY growth, transaction stability |
| On-Demand Attributes | AI-powered values computed at query time | Custom brand analysis |
Attributes are organized into groups — like "Card Transactions", "Industry", or "Contacts" — that bundle related fields together. These groups match how the Enigma Console presents data.
How entities connect
Entities are linked by typed relationships — for example, a Brand operates at an Operating Location, or a Legal Entity owns a Brand. Some attribute groups (like a Brand's address fields) are actually traversals through these relationships to data on a connected entity.