slug: insightera
provider: InsightEra
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: Classification
  spec_file: insightera-classification-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.85
  evidence: '"POST /nlp/classification/train  Train", "POST /nlp/classification/retrain  Retrain", "POST
    /nlp/classification/predict  Predict", "Delete model"'
  reason: Train/retrain/predict/model-metadata operations are an ML model lifecycle (MLOps) surface, matching
    Artificial Intelligence Management.
- tag: NLP
  spec_file: insightera-nlp-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.78
  evidence: '"POST /nlp/ner  Named Entity Recognition", "POST /nlp/sentiment-new  Sentiment analysis",
    "POST /nlp/ocr  OCR"'
  reason: A catalogue of inference endpoints (NER, sentiment, OCR, clustering, POS) delivered by an NLP
    platform realises AI/ML capability delivery rather than any marketing-specific capability.