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Use Cases
Kuber Map curates FIBO into learner-first, agent-grounding use cases. Each is a hand-picked "core" concept set drawn from across FIBO's domains, with worked examples on every card, a set of validated cross-domain bridges, and an exported context pack an AI agent can ground on.
| Use case | Core | Spans | Bridges | Pack |
|---|---|---|---|---|
| Loan origination & underwriting | 71 | LOAN, FBC, FND, BE | 4 | export/loan-origination/ |
| KYC & beneficial ownership | 58 | CMNS, BE, FND, FBC | 4 | export/kyc/ |
| Securities instruments & issuance | 59 | SEC, FBC | 3 | export/securities/ |
| Regulatory reporting & compliance | 52 | CMNS, FBC, FND, BE, BP, LOAN, CAE, SEC (8 clusters) | 4 | export/regulatory-reporting/ |
| Derivatives contracts & trading | 60 | DER, FBC, FND | 4 | export/derivatives/ |
284 core concepts, 19 cross-domain bridges in total. On the map these are the default view; the use-case lens (top bar) focuses one, and each detail card shows which use case(s) a concept belongs to.
A use case is a spec under curation/usecases/ — no code change to add one:
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Facet spec (
<uc>.json) — a list of[local-id, cluster]entries grouped into facets.etl/nominate_core.pyresolves every id against the FIBO extract and rejects any that isn't a real class (the anti-hallucination gate). -
Bridges (
<uc>-bridges.json) — cross-domain relations FIBO doesn't draw natively.etl/bridges.pyverifies both endpoints exist and that FIBO doesn't already assert the edge, and requires a rationale + citation for each. -
Overlays (
<uc>-examples.json,-definitions.json) — worked examples and gap-filling definitions, applied only where FIBO supplies none, markedprovenance: curated. -
Pack —
etl/export_pack.pyemits the grounding closure aspack.json+context.md+ an OKF slice.
Regenerate everything with make curate && make pack (see Getting Started).
Dumping all 3,104 FIBO concepts at a learner or an agent is noise. A use case is the minimal coherent slice for a real task (originate a loan, resolve a beneficial owner, file a regulatory report), with the cross-domain links that make it usable — and it's exactly what the value-proof eval measures.