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πŸ”¬ Trade finance & credit teams

Grade counterparty credit risk from government-sourced data

Before extending credit or trade finance, know the calibre of the entity on the other side. Quality-graded, government-sourced company data across 24 markets gives you a defensible starting point for every counterparty assessment.

Company population by market, credit risk assessment universeCompany population by market, credit risk assessment universeBrazil68.1MIndia43MUnited States23MUnited Kingdom5.7MCanada697.3k
Registered company totals across key markets. Status and tier data from these registers form the foundation of a defensible counterparty credit assessment. Β· Source: OneFirmIntel dataset

The problem

Credit and trade-finance teams vet counterparties using the counterparty's own documents, financial statements, reference letters, and registration certificates they provide themselves. That is a fundamental conflict: the entity being assessed controls the evidence being assessed.

How OneFirmIntel helps

  • Government-sourced records give you an independent, authoritative view of entity status, not self-reported paperwork.
  • Quality tiers (β˜…β˜…β˜… Listed to β˜… New entrant) give an instant calibre signal before deeper review.
  • Active vs dissolved status flags are drawn from official registers, not inferred from inactivity.
  • Every check is logged and watermarked to your account, creating a defensible audit trail for credit committees.

The blind spot in counterparty credit vetting

Trade-finance and credit teams routinely extend facilities to entities they have never independently verified. The standard process, request the registration certificate, check the financial statements, call the reference, relies almost entirely on documents controlled by the party being assessed. A dissolved entity can present a registration certificate. A shell company can present audited accounts.

The blind spot is the absence of an independent, authoritative view of the entity's existence, status, and maturity. That gap creates credit exposure that is invisible until the default.

Quality tiers as a first-pass risk signal

OneFirmIntel's quality tiers are derived from official registration data, not self-reported information. A β˜…β˜…β˜… Listed entity is publicly-listed or government-linked, a counterparty with a public market profile and accountability. A β˜…β˜… Established entity has substantive registration history and is currently active. A β˜… New entrant was recently incorporated, a legitimate entity, but one with a thin track record that warrants heightened due diligence.

That three-point scale gives a credit team a structured starting signal. Combined with active versus dissolved status from the official register, it replaces the informal "is this company real?" call at the start of the credit process with a documented, data-driven check.

An independent data source for credit committees

Credit committees require that assessments be based on sources independent of the borrower. A government company register is by definition independent, it is maintained by a public authority, not by the entity being registered. OneFirmIntel aggregates those registers across 24 markets and makes the data searchable, without the months of integration work each register would otherwise require.

Every reveal and export on OneFirmIntel is logged and watermarked to the requesting account. That produces an audit trail showing who checked which entity, when, and what the data showed at the time, exactly the documentation a credit committee needs.

Sector-level risk landscape

Beyond individual counterparty checks, credit teams use OneFirmIntel to understand the risk landscape of a sector. How many companies operate in a given market? What proportion are newly incorporated, suggesting a boom-and-bust dynamic? What is the regional concentration? That picture informs sector-level credit policy as well as individual exposure decisions.

A credit team extending facilities across a supply chain can use OneFirmIntel to map the entire supplier base, not just the named counterparty, and assess concentration and quality at the portfolio level.

Cross-border coverage for trade finance

Trade finance is inherently cross-border: the buyer is in one jurisdiction, the seller in another, and the goods are in transit. OneFirmIntel covers 24 markets, including Brazil, India, the United States, the United Kingdom, France, and Australia, from a single interface, so a trade-finance team can check both sides of a transaction without switching between country-specific databases.

Consistency of methodology matters here: the same tier-and-status logic applies across all 24 markets, so a β˜…β˜… Established counterparty in India is assessed on the same basis as a β˜…β˜… Established counterparty in Brazil. That comparability is difficult to achieve when each country requires a separate data vendor.

Integrating OneFirmIntel into the credit workflow

OneFirmIntel fits naturally into the early stages of a credit assessment workflow: before the application is formally received, a quick search confirms the entity exists in the register, is active, and has a quality tier consistent with the stated business description. Anomalies, a new entrant claiming a 20-year operating history, or a dissolved entity applying for a facility, surface immediately.

Revealed records are saved to the account and can be exported as CSV for attachment to the credit file. The watermark and log timestamp provide the provenance documentation that credit policy requires.

Frequently asked questions

How is this different from a credit bureau report?
OneFirmIntel provides government-sourced registration data, entity existence, status, tier, and location, rather than financial scores or payment history. It is an independent identity and status check that complements, rather than replaces, financial credit data.
Can I check counterparties in multiple countries?
Yes. OneFirmIntel covers 24 markets from one interface. The same search and reveal workflow applies in every market, with consistent tier-and-status methodology across jurisdictions.
How do dissolved companies appear in results?
Dissolved and inactive entities are graded and flagged separately from active companies, so they are never blended into active counts. You can see their status clearly when you reveal a record.
Is there a record of which checks were run and when?
Yes. Every reveal and export is logged and watermarked to your account, giving you a dated, account-linked record of every check, suitable for attachment to a credit file.

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