Measurement Layer
The metrics and scoring systems that measure representation quality, discoverability, and selection readiness. Includes MRI, RES, SRS, and the six Representation Capital primitives.
Primitives (9)
Machine Readability Index (MRI)
A standardized 0-100 score measuring how effectively a property record enables AI-mediated understanding, comparison, and selection.
Representation Efficiency Score (RES)
A standardized score measuring how efficiently a property record conveys selection-relevant information, balancing completeness with concision.
Selection Readiness Score (SRS)
A composite score combining representation quality, trust signals, and discoverability factors to predict AI-mediated selection likelihood.
Completeness
The degree to which an asset representation contains the fields, attributes, metadata, and semantic descriptors required for computational evaluation.
Accuracy
The degree to which the representation corresponds to the actual state of the asset.
Verifiability
The degree to which claims about the asset can be externally checked, audited, certified, or linked to trusted evidence.
Freshness
The degree to which the representation reflects the current state of the asset and has not depreciated through time.
Portability
The degree to which the representation can be transferred across systems, agents, protocols, marketplaces, and discovery environments.
Actionability
The degree to which computational agents can act on the representation, including inquiry, booking, purchasing, verifying, comparing, or initiating workflows.
Other Layers
Representation Layer
11 primitives
Agent-Readiness Layer
9 primitives
Global Market Layer
4 primitives
Governance Layer
9 primitives
Market Power Layer
6 primitives
Property Record Layer
14 primitives
Trade Infrastructure Layer
5 primitives
Discovery Layer
7 primitives
Economics Layer
8 primitives
Action Layer
1 primitives
Interoperability Layer
2 primitives
Zero-Click and Computational Transmission Primitives
49 primitives