CFOs and Treasurers face constant pressure to protect cashflow while keeping relationships balanced. Traditional credit bureaus like Dun & Bradstreet, Coface, or Creditsafe provide valuable data, but often in black-box form and at portfolio-wide cost. Internal spreadsheets and ERP exports capture fragments but lack comparability or early warning.
This dashboard brings suppliers and customers together in one view. Each counterparty is matched, enriched, and scored across solvency, liquidity, leverage, payment behavior, filings, and news. A composite stress score and plain-language comment highlight where to maintain terms, tighten exposure, or diversify. For finance leaders, it means protecting working capital and optimizing the portfolio with explainable, action-ready insights.
Client provides counterparty name, country, and relationship type (customer or supplier).
Curated APIs verify company identity, legal name, and registry mapping.
Financial KPIs collected: revenue, solvency, liquidity, debt-to-equity, payment terms, filings.
Stress score (0–100) built from weighted drivers, with explainable contributions.
Each record comes with a plain-language comment and suggested action.
This segment is activated with a blend of trusted sources and your own inputs
Curated APIs
AI reasoning
Web intelligence
User Input
Verified company identity with financial and behavioral KPIs.
Composite stress score with weighted drivers for transparency.
Plain-language risk summary and suggested action.
Customer and supplier risks shown in one standardized table.
Ready-to-use exports via API, CSV, or Sheets.
Your questions on this segment, answered
Your questions on this segment, answered
Can the outputs be integrated into ERP, treasury, or CRM systems?
Yes. Exports are workflow-ready in CSV, Sheets, JSON, or via API for seamless integration with ERP, treasury, and CRM.
How can this dashboard complement existing bureau subscriptions?
It does not replace them — it enriches them. Bureau data feeds in via curated APIs, but Starzdata adds structured web signals, explainability, and plain-language actions.
How do you handle counterparties without published financials?
In such cases, the model relies more heavily on payment patterns, filings, and news, while transparently showing confidence levels.
Can I see the driver weights behind each stress score?
Yes. Each score shows the contribution of solvency, liquidity, debt, payment behavior, filings, and news so you can interpret results clearly.
How does web intelligence add value beyond bureau data?
Web signals bring freshness — negative news, payment slippage, or new filings appear before annual accounts, giving earlier warnings.
What data sources are combined (registries, bureaus, web signals)?
We merge company registries and curated bureau feeds (Coface, Creditsafe, D&B) with structured web intelligence, all reconciled under one taxonomy.
How is the stress score different from a credit bureau rating?
Bureau ratings are useful but opaque. The stress score is fully explainable, with weights for solvency, liquidity, leverage, payments, filings, and news.
How often are company financials and stress scores refreshed?
Core financials are refreshed annually from registries and bureau feeds, while payment, filings, and news signals update monthly or on demand.
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mild payment slippage. 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