slug: verisk
provider: Verisk
generated_by: planning/capability-mapping/scripts/classify_capabilities.py
model: claude-opus-5
frame:
- Insurance
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: Catastrophe
  spec_file: verisk-catastrophe-api-openapi.yml
  capability_id: BC-2180.60
  capability_id_l1: BC-2180
  capability_name: Catastrophe Modelling
  confidence: 0.78
  evidence: POST /catastrophe/peril-scores  getPerilScores  "Verisk Get Catastrophe Peril Scores"; schemas
    `PerilScoreRequest`, `PerilScoreResponse`; "catastrophe modeling ... for insurance pricing, reserving,
    and exposure management"
  reason: Returns per-location catastrophe peril scores, i.e. vendor catastrophe model output over exposure
    data, which is catastrophe modelling support. Some residual ambiguity with accumulation/CAT risk monitoring
    (BC-2190.20), hence not maximal confidence.
- tag: Risk Scoring
  spec_file: verisk-risk-scoring-api-openapi.yml
  capability_id: BC-2130.20
  capability_id_l1: BC-2130
  capability_name: Risk Assessment & Selection
  confidence: 0.75
  evidence: POST /risk/scores  getRiskScores  "Verisk Get Insurance Risk Scores"; GET /risk/fire-protection-class  "Verisk
    Get ISO Fire Protection Class (PPC)"; schemas `RiskScoreRequest`, `RiskScoreResponse`
  reason: Produces insurance risk scores and ISO fire-protection classifications for a risk location —
    risk scoring and selection input for underwriting. Slight ambiguity with underwriting risk intake/data
    enrichment keeps this below 0.8.