slug: cleanlab
provider: Cleanlab
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: Codex
  spec_file: cleanlab-codex-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/codex/projects/{project_id}/validate 'Validate an AI response (guardrail + remediation)'
  reason: Runtime guardrail and remediation over LLM outputs is responsible-AI / AI model lifecycle management.
- tag: Studio
  spec_file: cleanlab-studio-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/deployment/{model_id}/predict 'Predict with a deployed Cleanlab Studio model'
  reason: Inference against a deployed ML model is part of the AI/ML model lifecycle and MLOps capability.
- tag: TLM
  spec_file: cleanlab-tlm-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.75
  evidence: '''Trustworthy chat completion (OpenAI-compatible)''; schema ''TLMMetadata''; vendor: ''wraps
    any LLM with a real-time trustworthiness score to catch hallucinations'''
  reason: LLM inference with trustworthiness scoring is AI model operation and responsible-AI tooling;
    no other candidate fits.