slug: deepchecks
provider: Deepchecks
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: 3
edges:
- tag: Interactions
  spec_file: deepchecks-interactions-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.8
  evidence: POST /api/v1/application-versions/{application_version_id}/interactions  Log a batch of interactions
  reason: Logging and retrieving LLM interactions with computed properties and annotations for evaluation
    is squarely AI/ML model monitoring and lifecycle management.
- tag: Application Versions
  spec_file: deepchecks-application-versions-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.75
  evidence: Log raw LLM interactions to an application version for evaluation, manage applications and
    their versions
  reason: Versioned LLM application entities serve as the unit of model/version evaluation in an ML testing
    platform — AI/ML model lifecycle management. Could also be read as generic resource CRUD, hence moderate
    confidence.
- tag: Applications
  spec_file: deepchecks-applications-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.75
  evidence: REST API for the Deepchecks LLM Evaluation cloud platform ... manage applications and their
    versions
  reason: Applications are the registered LLM systems under evaluation; managing them is part of the AI/ML
    model lifecycle (MLOps) capability this vendor delivers.