The Relationship Layer of The USA Stack
The USA Graph
Connect the Entities. Understand the Relationships.
A national relationship graph designed to connect businesses, places, people, services, events, information, marketplaces, geographic nodes and digital surfaces across The USA Internet.
Sample / architecture graph. Hover a node to reveal relationship predicates.
Everything is an entity.
Businesses, cities, counties, categories, services, events, records, marketplaces and surfaces are all typed entities in one model.
Every entity can have relationships.
A record tells you what something is. A graph helps explain what it means, where it belongs and how it connects to everything around it.
The Core Model
Entities Become More Useful When Connected.
- ENTITY
- RELATIONSHIPS
- CONTEXT
- GRAPH
- DISCOVERY
- SEARCH + AI + AGENTS + PEOPLE
The Triple Model
Subject → Relationship → Object
Entity → Relationship → Entity is the simplest possible explanation of the whole graph.
Grid + Graph
The Grid Shows Where.
The Graph Shows How Everything Relates.
The Grid shows what nodes exist and where. The Graph shows how those nodes relate to one another. Together they form a machine-readable model of local America.
The USA Grid · WHERE
- Nodes
- Geography
- Network
- Deployment
- Location
The USA Graph · HOW
- Entities
- Relationships
- Context
- Meaning
- Connections
Relationships Need Evidence.
Source, claim, entity, relationship, verification, graph. Every relationship records why we believe it exists.
Continue →From Record to Relationships.
The Business Record defines the entity. The Graph connects the entity to places, categories, services, people and surfaces.
Continue →Relationships Power Better Surfaces.
Graph → Surfaces → Discovery. Context makes city surfaces, marketplaces, search and AI answers more useful.
Continue →Everything Is Connected.
The USA Graph is designed to connect the businesses, places, people, information, records, marketplaces and digital surfaces that make up local America.
ENTITY → RELATIONSHIP → CONTEXT → KNOWLEDGE