Open semantic contracts

Semantic contracts you can inspect, not just trust.

Metric Hive publishes the product contracts behind its connector catalog. Browse the base entity and row grain for each report, then inspect canonical mappings, source fields, aggregation behavior, and where each field may be used. The library is generated from the same registered source schemas the product uses.

EntityThe business object each report describes.
GrainThe exact keys that make one row true.
AggregationHow each metric may be rolled up.
MappingHow provider fields map into canonical concepts.
PolicyWhether a field is available in product and exports.
Generated from registered product contracts
Registered connectors
Registered reports
Semantic-ready reports
Field definitions

Registration describes contract coverage. It does not by itself mean a connector or report is customer-available, has live provider access, or has passed production smoke.

The standard

A connector is not automatically a semantic model

The library keeps report readiness explicit. A registered schema can be useful for catalog or lifecycle work without being promoted as a safely modeled analytical report.

Semantic-ready

The source plugin marks the report semantic and declares its reporting grain. Field-level aggregation, mapping, and visibility rules still apply.

Basic contract

The report is registered for catalog, lifecycle, or helper use. Metric Hive does not present it as a fully semantic analytical report.

Registered schema

The connector schema is known, but the source plugin does not mark this report semantic-ready. Missing declarations remain visibly missing.

Contract explorer

Inspect source reports and fields

Search by connector, report, dataset, entity, or grain. Select a report to load its field contract directly from the public Metric Hive catalog.

Loading contracts…
Loading the contract library The first semantic-ready report will appear here.
Why this is the moat

Every new connector strengthens the shared model

The defensible asset is not a page count. It is a growing, testable map between provider schemas and stable business meaning that can power queries, exports, comparisons, and AI answers.

Source-specific evidence

Provider field names and report schemas stay visible, so canonicalization does not erase provenance or make unsupported equivalence claims.

Reusable business meaning

Canonical mappings let equivalent concepts become discoverable across sources while preserving report grain and source context.

Machine-readable guardrails

Aggregation and visibility policies are contract data, not prose. The same rules can govern product surfaces, exports, and generated explanations.