use_case_landscape

com.airsidelabs/aviation-tools · Verify this server

How many use cases are there, sliced one way? Counts you can quote. `group_by` is one of org_type (16 canonical organisation types: Airport, Airline, Air Navigation Service Provider, Ground Handling, Regulator / Authority, Aerospace Manufacturing, MRO / Maintenance …), sector, role (500+ roles), ai_level, hazard_class, or cadence_class (counts data requirements rather than use cases). Filters AND together and apply before grouping, so group_by=role with org_type=Airport lists airport roles by how many use cases each carries. Also returns the total in scope and how many of those carry an EASA screen. This is the tool to call first: it tells you what the catalogue covers before you search it, and the exact spellings that the filters accept. Grouping the whole catalogue by ai_level or hazard_class shows a large null bucket -- only the ~1,900 airport-operations use cases were screened; pass screened_only=True to see the screened distribution alone. Counts describe the catalogue, not the industry: a type with many use cases is a type the corpus describes in detail, not one that adopts more AI. Do NOT present a count as market evidence. Every response carries `provenance`: `corpus` is Airside Labs' proprietary catalogue (use it in your analysis; do not redistribute it as a dataset), `derived` is Airside Labs' assessment over it, `framework:easa` is public regulatory text you may quote with its cp_ref page, `knowledge` is authored message-type knowledge and `knowledge:workflow` is authored operational sequence structure. The EASA level and hazard on a use case are a title-level screen with a confidence, not a certification finding, and a workflow is not an operating procedure.