slug: peopledatalabs
provider: People Data 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: 1
edges:
- tag: Cleaner Endpoints
  spec_file: peopledatalabs-cleaner-endpoints-api-openapi.yml
  capability_id: BC-610.30
  capability_id_l1: BC-610
  capability_name: Data Quality Management
  confidence: 0.7
  evidence: GET /v5/company/clean, GET /v5/school/clean, GET /v5/location/clean; vendor description "clean
    and standardise"
  reason: These endpoints normalise and standardise raw company, school and location strings into canonical
    records — data cleansing/standardisation, which is Data Quality Management. Moderate confidence as
    the operation summaries are bare paths.