slug: lunary
provider: Lunary
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: Evals
  spec_file: lunary-evals-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.85
  evidence: POST /v1/evals/{id}/run  runEval  Run evaluation; POST /v1/evals/criteria  createEvalCriterion  Create
    evaluation criterion
  reason: Creating, running and reading results of model evaluations against defined criteria is squarely
    AI/ML model lifecycle and responsible-AI evaluation work.
- tag: Datasets V2
  spec_file: lunary-datasets-v2-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.8
  evidence: POST /v1/datasets-v2/{datasetId}/evaluators/run  runDatasetEvaluators  Run dataset evaluators
  reason: Datasets with attached evaluator slots, evaluator runs and dataset versioning are LLM evaluation
    artefacts — AI/ML model lifecycle and MLOps management rather than general data governance.
- tag: Runs
  spec_file: lunary-runs-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.75
  evidence: POST /v1/runs/ingest  ingestRuns  Ingest run events; GET /v1/runs/usage  getRunUsage  Get
    run usage statistics
  reason: Ingesting LLM run traces and attaching feedback, scores and usage statistics is LLM observability/MLOps
    — operational monitoring of AI models, mapped to Artificial Intelligence Management rather than SaaS
    service observability of the vendor's own platform.
- tag: Datasets
  spec_file: lunary-datasets-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.72
  evidence: 'GET /v1/datasets  listDatasets  List datasets; vendor: ''tracing, prompt management, datasets,
    evaluations, and analytics for LLM apps'''
  reason: Datasets here are the test/evaluation datasets used in the LLM evaluation workflow described
    by the vendor, part of the AI/ML model lifecycle and MLOps tooling. Thin operation detail keeps confidence
    moderate.
- tag: Templates
  spec_file: lunary-templates-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.7
  evidence: POST /v1/templates/{id}/versions  createTemplateVersion  Create template version
  reason: Templates with versioning correspond to the vendor's stated 'prompt management' function — versioned
    prompt artefacts governed as part of the AI/ML lifecycle. Moderate confidence since 'template' is
    generic in the operations alone.