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Country Risk Overview

Country Risk provides country-level risk intelligence to help organisations assess exposure across jurisdictions. It supports due diligence, compliance, supplier review, and market-entry decisions by returning structured indicators across AML, ESG, sovereign, and supply chain risk categories.

Important Response Behaviour

The documented schema shows the full potential response shape. Actual API responses may include only the properties and indicator groups for which data is available.

  • Properties that evaluate to null are not returned in the API response.
  • Indicator groups may be omitted entirely when no data is available for that risk type.
  • A valid response may therefore contain one, several, or all of the available indicator groups.

How Country Risk Can Be Used

Country Risk can help teams:

  • Assess jurisdiction-level exposure before onboarding customers, suppliers, or partners
  • Support internal decisioning with consistent country risk indicators
  • Identify higher-risk markets that may require enhanced review
  • Compare country-level exposure across different risk themes

What The API Returns

The Country Risk API returns:

  • Country metadata such as countryCodeIso2, countryCodeIso3, countryName, and region
  • Core country context including oecdMember and worldBankClassification
  • Four indicator families:
    • AML
    • ESG
    • Sovereign
    • Supply Chain

Each indicator family can include:

  • A score on a 0 to 100 scale, where a higher score indicates higher risk
  • riskClassificationCategorical and riskClassificationNumeric
  • countryRank and countryUniverse
  • Data quality fields such as dataQualityCategorical and dataQualityNumeric
Response Variability

The schema documents the full set of possible fields, but fields with no available value are omitted from the runtime response.

Interpreting The Results

When using Country Risk results, keep the following in mind:

  • Higher score indicates higher risk
  • Lower rank indicates lower risk
  • countryUniverse can vary by indicator family, so rank should be interpreted within that specific family
  • Data quality should be considered before making decisions based on score or rank