Semantic-ready
The source plugin marks the report semantic and declares its reporting grain. Field-level aggregation, mapping, and visibility rules still apply.
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.
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 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.
The source plugin marks the report semantic and declares its reporting grain. Field-level aggregation, mapping, and visibility rules still apply.
The report is registered for catalog, lifecycle, or helper use. Metric Hive does not present it as a fully semantic analytical report.
The connector schema is known, but the source plugin does not mark this report semantic-ready. Missing declarations remain visibly missing.
Search by connector, report, dataset, entity, or grain. Select a report to load its field contract directly from the public Metric Hive catalog.
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.
Provider field names and report schemas stay visible, so canonicalization does not erase provenance or make unsupported equivalence claims.
Canonical mappings let equivalent concepts become discoverable across sources while preserving report grain and source context.
Aggregation and visibility policies are contract data, not prose. The same rules can govern product surfaces, exports, and generated explanations.
See how canonical entities, grain, date and currency behavior, query guardrails, and governed exports fit together across Metric Hive.