slug: clarifai
provider: Clarifai
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: 6
edges:
- tag: Models
  spec_file: clarifai-models-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.9
  evidence: '"Add a models to an app", "List all the model types available in the platform.", "POST /v2/models/versions/upload",
    "Stream of requests and stream of responses" (V2_StreamModelOutputs)'
  reason: 'Full machine-learning model lifecycle: creation, versioning, upload, typing, evaluation and
    inference streaming — squarely AI/ML model lifecycle and MLOps management.'
- tag: Datasets
  spec_file: clarifai-datasets-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.7
  evidence: '"Add datasets to an app.", "Add dataset inputs to a dataset.", "Add dataset versions to a
    dataset", apiDatasetVersionExportFormat'
  reason: Management and versioning of training datasets for machine-learning models — core MLOps/AI lifecycle
    tooling on an AI platform.
- tag: Evaluations
  spec_file: clarifai-evaluations-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.7
  evidence: POST /v2/evaluations with schemas apiSingleEvalMetricsResponse, apiMultiEvalMetricsResponse,
    apiEvalInfo, apiLabelDistribution
  reason: Creation and retrieval of model evaluation metrics against datasets — model validation within
    the AI/ML lifecycle (MLOps).
- tag: Pipelines
  spec_file: clarifai-pipelines-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.7
  evidence: GET /v2/pipelines/{pipeline_id}/versions/{pipeline_version_id}/runs/{pipeline_version_run_id}
    'V2 get pipeline version run2'
  reason: Managing ML pipelines, their versions and runs is MLOps/AI model lifecycle orchestration on
    an AI platform, matching Artificial Intelligence Management.
- tag: Workflow Version Evaluations
  spec_file: clarifai-workflow-version-evaluations-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.7
  evidence: GET /v2/workflow-version-evaluations/{workflow_version_evaluation_id}  'V2 get workflow version
    evaluation'; schema apiEvalInfo
  reason: Evaluation runs and evaluation data for versions of AI inference workflows — model/workflow
    performance evaluation, a core MLOps activity under Artificial Intelligence Management.
- tag: Workflows
  spec_file: clarifai-workflows-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.7
  evidence: POST /v2/workflows/{workflow_id}/results  'Predict using a workflow'; GET /v2/workflows/{workflow_id}/versions  'List
    workflow versions'
  reason: Workflows are versioned AI model pipelines that are created, versioned, published and invoked
    for prediction — AI/ML model lifecycle and inference orchestration. Not generic business process management,
    since the artefacts are model prediction graphs.