slug: siemens-mindsphere
provider: Siemens MindSphere
generated_by: planning/capability-mapping/scripts/classify_capabilities.py
model: claude-opus-5
frame:
- Manufacturing & Industrial
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: 2
edges:
- tag: Assets
  spec_file: siemens-mindsphere-assets-api-openapi.yml
  capability_id: BC-1040.40
  capability_id_l1: BC-1040
  capability_name: Asset Information Management
  confidence: 0.8
  evidence: '"POST /assets  createAsset  Create a new asset"; "PATCH /assets/{assetId}  updateAsset";
    schemas "Location", "AspectRef"; "hierarchical asset structures for digital twin modeling of industrial
    equipment"'
  reason: CRUD over industrial asset records with location, hierarchy and aspect references — maintenance
    of asset master data / technical asset information for the installed equipment base.
- tag: Timeseries
  spec_file: siemens-mindsphere-time-series-api-openapi.yml
  reanchored_from: siemens-mindsphere-timeseries-api-openapi.yml
  capability_id: BC-1010.60
  capability_id_l1: BC-1010
  capability_name: Manufacturing Data Acquisition Management
  confidence: 0.7
  evidence: '"PUT /timeseries  Ingest time-series data for multiple assets/aspects"; "GET /timeseries/{assetId}/{aspectName}  Query
    time-series data"; vendor "connects industrial machines and assets to the cloud"'
  reason: Ingestion and query of sensor/machine time-series from industrial equipment is manufacturing
    data acquisition (OT-IT integration). Could alternatively be read as asset performance data, hence
    0.7.