Data Product platforms
Catalogs and Data Product platforms improve ownership, quality, discovery, and consumption. Legra extends that supply-side model to the demand side: Use Cases, executable Stories, bilateral agreements, delivery evidence, and value exchange.
Where this category excels
Ownership, cataloging, quality signals, lineage, and discoverability.
Defined interfaces and contracts between producers and consumers.
Organizational patterns for treating data as a maintained product.
Where Legra extends the model
Data Products and Use Cases are modelled as complementary supply and demand.
The workspace can contain the product, its semantic model, media, history, policies, and operational evidence.
Contracts can connect rights and technical ports to execution and multidirectional token settlement.
Questions to use in an evaluation
Can a consumer move from finding a product to executing a governed Use Case?
Are contracts merely documentation, or part of authority and settlement?
Can small and large publishers participate without joining one proprietary marketplace?
Beyond database features
Legra also organizes the work that uses and changes the graph, the evidence needed to review that work, and the economic relationships that move data and value between parties. That operational layer is what turns graph infrastructure into data logistics infrastructure.
Legra keeps each piece of work together with the changes it made, the evidence behind it, and any costs incurred. That history stays private to the workspace and cannot be quietly rewritten.
Full provenance connects signed commits and exact deltas to task and transaction lineage, actors, delegated authority, imports, and every retained rule and premise behind derived facts.
The admitted total composes independently priced data value, compute, storage, custody, transport, external I/O, rights, and operator services instead of treating bytes as the value of data.
Every resource-consuming operation follows one path: measure, price, authorize, execute, record, and settle. Detailed evidence stays with the workspace instead of one central billing ledger.
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