slug: anomaly-detection
provider: Anomaly Detection
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: 1
edges:
- tag: Multivariate
  spec_file: anomaly-detection-multivariate-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.78
  evidence: POST /multivariate/models  'Train a multivariate model'; DELETE /multivariate/models/{modelId}  'Delete
    a multivariate model'; POST /multivariate/models/{modelId}:detect-batch  'Run batch multivariate inference'
  reason: Train, list, get, delete and run inference on models is explicit ML model lifecycle management
    (MLOps), mapping to Artificial Intelligence Management.