Credit Risk Scoring

Feature

AI-Powered Scoring: Leverage machine learning for accurate risk assessment.

Usecase

Smarter Lending: Make data-driven decisions to minimize risk.

What is Credit Risk Scoring?

Credit Risk Scoring is the process of evaluating an individual’s or a business’s creditworthiness to determine the likelihood of them defaulting on a loan or credit obligation. It is a critical component of the lending process, enabling financial institutions to make informed decisions about who to lend to and at what terms.

Our Credit Risk Scoring API provides a comprehensive and accurate assessment of credit risk, using a combination of traditional and alternative data sources. It helps you to:

• Automate Lending Decisions: Streamline your loan origination process with automated credit risk scoring.
• Reduce Default Rates: Identify high-risk applicants and reduce your exposure to bad debt.
• Increase Approvals: Safely approve more applicants by getting a more complete picture of their creditworthiness.
• Comply with Regulations: Our API is designed to help you meet your regulatory obligations.

API Endpoint

The Credit Risk Scoring API endpoint is:

POST https://zoros.io/api/v1/credit/score

Request Parameters

Parameter	Type	Description
applicant_id	string	A unique identifier for the applicant.
api_key	string	Your unique API key for authentication.
data	object	An object containing the applicant’s information.

Example Request

curl -X POST "https://zoros.io/api/v1/credit/score" \
     -H "Content-Type: application/json" \
     -d '{
           "applicant_id": "app_1A2b3C4d5E",
           "api_key": "YOUR_API_KEY",
           "data": {
             "income": 50000,
             "debt": 20000,
             "credit_history_length": 5
           }
         }'

API Response

The API returns a JSON object with the credit risk assessment.

Example Response

{
  "applicant_id": "app_1A2b3C4d5E",
  "credit_score": 720,
  "risk_level": "low",
  "factors": [
    "High income",
    "Low debt-to-income ratio",
    "Long credit history"
  ],
  "recommendation": "approve",
  "timestamp": "2025-08-26T12:00:00Z"
}

Response Field Descriptions

Field	Type	Description
applicant_id	string	The unique identifier for the applicant.
credit_score	integer	A numerical representation of creditworthiness.
risk_level	string	The categorical risk level: low, medium, or high.
factors	array	A list of factors that influenced the score.
recommendation	string	The suggested action: approve, review, or decline.
timestamp	string	The timestamp of when the assessment was made.

Use Cases

Loan Origination

Automate and streamline your loan approval process.

Credit Monitoring

Continuously monitor customer credit to manage portfolio risk.

Portfolio Management

Optimize your lending portfolio with data-driven insights.

Fraud Prevention

Identify and prevent fraudulent applications.