Credit Decision Person

Credit decision person

Automate your B2C credit assessment and decision process to improve customer experience and reduce risk

  • Get an instant, automated credit decision
  • Reduce the risks of customer insolvency
  • Enhance your B2C customer onboarding process
credit decision company

Use cases

Automated credit decisions to enhance B2C customer onboarding and risk assessment processes.
credit decision person api

Risk assessment

Streamline your risk assessment process and automatically eliminate prospects who are considered high-risk.

With our API you can automate time-consuming, manual risk and credit evaluations!

credit decision person 3

Credit Applications

Automate credit applications for individuals or your B2C customer onboarding process.

Improving your customer journeys, while saving your admin team a lot of headache and time.


Credit decision person is available to use in the following Roaring products:

Technical details

Automated credit decisions for individuals. All through a developer-friendly API.

Fast credit checks and automated responses on credit decisions, based on unique credit templates where you choose the parameters.

The result? Reduced manual handling, reduced risk factor in assessment, a better customer experience, reduced churn and more incoming business. How does that sound? Use the Roaring API for integration with existing systems and processes, more customers are waiting around the corner!

Standard template

To generate an approved credit decision, the following criteria must be met:

  • Age of individual equal to or higher than 18 years
  • No payment defaults
  • No outstanding debt
  • No ongoing debt restructuring
  • No seizure attempts
  • Individual not under trusteeship
  • No personal bankruptcy registered

Correct name and adress are always returned.

Try our free sandbox experience to get started, including:

  • Docs, guides & support
  • Test objects for every API
  • Try-API-feature to see response data & structure
  • Available in Postman

Example response:

    "personalNumber": "193701308888",
    "firstName": "Christina Birgitta Ulrika",
    "givenName": "Birgitta",
    "lastName": "Efternamn3542",
    "statusCode": "1",
    "statusText": "Approved",
    "rejections": [],
    "coAddress": "",
    "registeredAddress": "Gatan142 8",
    "address": "Gatan142 8",
    "zipCode": "11146",
    "town": "STOCKHOLM"

Ready to optimize your process?