The adverse media results JSON format is a structured method for presenting screening outcomes using JavaScript Object Notation (JSON). It allows compliance systems to return clear, machine-readable information about negative news findings, including names, relevance scores, risk categories, source metadata and context summaries.
Organisations use JSON formats because they are lightweight, readable and easy to integrate into onboarding workflows, case management systems and alert adjudication processes.
Why The JSON Format Matters For AML And Compliance
A consistent JSON structure ensures that adverse media results remain aligned with regulatory expectations and technical standards set out in global guidance such as the Financial Action Task Force (FATF) Recommendations. It supports automation, reduces manual handling and enables clean interoperability between systems.
JSON formatting helps:
Improve integration between screening platforms and internal tools.
Reduce human error and manual data re-entry.
Support automated decisions and routing rules.
Provide investigators with structured information for faster reviews.
Strengthen audit trails by logging clear, versioned data fields.
What Typically Appears In An Adverse Media JSON Result
Although formats vary across technology providers, most JSON outputs include key fields such as:
entity_name - The individual or organisation screened.
match_score - A relevance indicator suggesting the likelihood of a true match.
risk_categories - Relevant domains such as fraud, corruption, terrorism or money laundering.
source_details - Metadata about the publication or news outlet.
summary - A short description of the adverse media reference.
timestamp - The creation or update time of the screening result.
These fields help risk teams understand the severity, credibility and context of the match quickly.
How Organisations Use Adverse Media JSON Outputs
Adverse media JSON files are routinely integrated into onboarding systems, risk engines and case management platforms.
This enables:
Automated screening and routing decisions.
Efficient escalation to enhanced due diligence.
Tracking of risk changes over time.
Faster investigations based on structured and consistent data.
This structured approach is also aligned with regulatory expectations from bodies such as the Financial Conduct Authority, which emphasise reliable data, transparency and auditability.
How JSON Formats Connect To Facctum Solutions
Facctum supports modern screening outputs across its compliance technology:
FacctList, through the watchlist management solution, ensures that list data feeding JSON outputs remains accurate and enriched.
FacctView, delivered through the customer screening solution, supports real-time screening responses that can be structured into clean and consistent JSON formats.
Facctum’s alert adjudication capabilities use structured JSON results to help investigators resolve adverse media alerts efficiently.
