Methodology · v2.8

OTEigentümertransparenz

Ownership-disclosure completeness assessment for {legal_name}. EXTRACTION RULES: return type="composite_signal" with one entry per dimension, each carrying a 0-100 LLM assessment + a source_url backing that specific dimension. Required sub-dimensions (use these exact names): (a) beneficial_owner_disclosure — 0-100 = completeness of UBO disclosure (cite proxy / DEF 14A / OpenCorporates / UK Companies House / EU Transparency Register / OpenSanctions); (b) related_party_transactions_clarity — 0-100 = clarity and completeness of related-party transaction disclosure (cite SEC EDGAR 10-K Item 13 / proxy); (c) control_structure_simplicity — 0-100 = inverse complexity of cross-holding / parent control chain (100 = simple direct ownership; 0 = opaque pyramidal); (d) regulatory_filings_richness — 0-100 = depth of regulatory filings (DEF 14A / SEC EDGAR / equivalent national registry). Each signals[].value MUST be a real assessment based on cited evidence (NOT 0 placeholder). Server applies composite_signal_score (weighted-average of sub-signals).