Traditional ownership databases (like Orbis, Refinitiv, PitchBook) give corporate trees, but not outlet-level alignment or explainability. Web or registry scraping adds fragments, but no standardization.
This segment blends structured feeds from trusted corporate data APIs with Starzdata Smart Queries, harmonized into one taxonomy. For consultants, regulators, and foresight units, it means moving from scattered, static ownership charts to a refreshable, explainable map of who controls media outlets — and how concentrated, cross-border, or financially resilient they are.
Normalize outlets, domains, legal entities, and registry IDs in a unified taxonomy.
Reconcile owners and beneficial owners; compute hierarchy depth and control %.
Flag cross-border structures and add compliance notes when signals exist.
Score financial strength with transparent, documented rules.
Deliver field-level confidence based on source availability, freshness, and methods.
This segment is activated with a blend of trusted sources and your own inputs
AI reasoning
Open Datasets
Web intelligence
Curated APIs
Outlet / operating-company rows with owners and legal traceability.
Concentration indicators and financial strength proxy with explainable scores.
Compliance-ready datasets for regulators, NGOs, and consultants.
API / CSV / Sheets outputs, workflow-ready for BI and CRM tools.
Your questions on this segment, answered
Your questions on this segment, answered
How does this compare to corporate databases like Orbis or Refinitiv?
Those tools map corporate groups broadly; this dataset is media-specific, outlet-aligned, and provides explainability and confidence scoring.
How are cross-border structures identified and flagged?
If any entity in the chain is registered outside the outlet’s main jurisdiction, the flag is set to true.
What does “ownership hierarchy depth” mean in practice?
It counts the number of intermediary entities between an outlet and its ultimate beneficial owner.
How is the financial strength score calculated and how should it be used?
It is a 0–100 proxy based on public filings, signals, and ratios. It is designed for decision-support, not as a formal credit rating.
What exactly is included under “beneficial owners”?
Individuals or entities with effective control; where available, percentage shares and roles are provided.
How often is the ownership dataset updated?
Updates run monthly by default, with on-demand refreshes triggered by corporate changes.
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