slug: habu
provider: Habu
generated_by: planning/capability-mapping/scripts/classify_capabilities.py
model: claude-opus-5
frame:
- Software & Technology
min_confidence: 0.7
capability_model:
  source: https://github.com/vincentmakes/turbo-ea-capabilities
  license: CC-BY-4.0
  attribution: Turbo EA Capabilities by Vincent Verdet — Turbo EA, https://github.com/vincentmakes/turbo-ea-capabilities,
    CC BY 4.0
  notice: NOTICE
edge_count: 5
edges:
- tag: Cleanroom Users
  spec_file: habu-cleanroom-users-api-openapi.yml
  capability_id: BC-620.20
  capability_id_l1: BC-620
  capability_name: Identity & Access Management
  confidence: 0.76
  evidence: '"Add Cleanroom User"; "Remove Cleanroom User"; "Update Cleanroom User Role"'
  reason: Grants, revokes and re-roles user access to a collaboration workspace — identity and access
    administration, not HR employee records.
- tag: Cleanroom Question Runs
  spec_file: habu-cleanroom-question-runs-api-openapi.yml
  capability_id: BC-610.50
  capability_id_l1: BC-610
  capability_name: Analytics & BI Management
  confidence: 0.72
  evidence: '"Get the result data for Cleanroom Question Run"; "Get the explain plan for a SQL Cleanroom
    Question Run"; schema QuestionRunResultData'
  reason: Operations execute analytical queries and return result data, counts, output files and SQL explain
    plans — analytics/BI delivery over collaborated data, not any industry-specific business process.
- tag: Cleanroom Datasets
  spec_file: habu-cleanroom-datasets-api-openapi.yml
  capability_id: BC-610
  capability_id_l1: BC-610
  capability_name: Information & Data Management
  confidence: 0.7
  evidence: POST /cleanrooms/{cleanroomId}/datasets/configure 'Configure a Cleanroom Dataset by Data Connection
    ID'; 'Fetch a list of all Identifier Types for Field Mapping'
  reason: Registration, field mapping and partitioning of datasets made available for collaboration is
    data asset/governance management. Kept at L1 because the surface spans governance, architecture and
    identifier-mapping concerns.
- tag: Cleanroom Questions
  spec_file: habu-cleanroom-questions-api-openapi.yml
  capability_id: BC-610.50
  capability_id_l1: BC-610
  capability_name: Analytics & BI Management
  confidence: 0.7
  evidence: '"Add Cleanroom Question"; "Update the compute capacity for a cleanroom question"; "Enable
    segmentation for a Cleanroom Question"'
  reason: A 'question' here is a configured analytic query/segmentation run against joined party data;
    managing these definitions is analytics & BI delivery. Note the tag is not a survey or Q&A business
    object.
- tag: Questions
  spec_file: habu-questions-api-openapi.yml
  capability_id: BC-610.50
  capability_id_l1: BC-610
  capability_name: Analytics & BI Management
  confidence: 0.7
  evidence: POST /question createQuestion 'Create question'; schemas 'Measure', 'Dimension', 'QueryDetail',
    'QuestionDetails'
  reason: Full CRUD over 'questions' — parameterised analytical queries with measures, dimensions and
    query details that clean-room participants run against collaborative data. This is authoring and managing
    analytical/reporting artefacts, i.e. analytics & BI delivery.