slug: priorlabs
provider: Prior Labs
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: 2
edges:
- tag: Prediction
  spec_file: priorlabs-prediction-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.85
  evidence: POST /tabpfn/predict  Predict (TabPFN JSON API); schemas ClassifierConfig, RegressorConfig,
    PredictionTask
  reason: Operations run inference with a tabular foundation model (classification/regression prediction),
    which is ML model lifecycle / AI capability under Information & Data Management.
- tag: Training
  spec_file: priorlabs-training-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.85
  evidence: POST /tabpfn/fit  Fit (TabPFN JSON API); GET /tabpfn/get_model_limits  Get model limits
  reason: Fitting a model and managing train-set uploads and model limits is AI/ML model lifecycle work.