Comprehensive Credit Scoring Framework
Multi-source data aggregation including traditional credit bureaus (Experian, Equifax, TransUnion), alternative data (social media, utility payments, rental history), open banking APIs, and blockchain-based identity verification. Real-time data validation and normalization with GDPR and privacy compliance built-in.
Advanced machine learning models including gradient boosting (XGBoost, LightGBM), neural networks, and ensemble methods. Features 500+ engineered variables, automated feature selection, and model interpretability through SHAP values. Supports multiple scoring models: FICO-compatible, VantageScore, and custom risk scores.
Intelligent decision engine with configurable risk thresholds, automated approval workflows, and real-time fraud detection. Integrates credit policy rules, regulatory compliance checks (Fair Credit Reporting Act, Equal Credit Opportunity Act), and customizable scoring bands. Supports A/B testing for model optimization.
Real-time model performance monitoring with automated retraining pipelines. Detects data drift, concept drift, and model degradation. Generates adverse action notices, explanation reports for consumers, and audit trails for regulators. Continuous feedback loop for model improvement using accepted/rejected loan outcomes.
Enterprise-Grade Credit Scoring Capabilities
State-of-the-art machine learning algorithms with explainable AI (XAI) for regulatory compliance. Supports ensemble models, deep learning, and traditional statistical methods. Pre-trained models available for instant deployment.
Sub-100ms credit score calculation with instant decisioning. Cloud-native architecture with auto-scaling for peak loads. Handles 10,000+ requests per second with 99.99% uptime SLA.
Built-in bias detection and mitigation algorithms. Ensures compliance with fair lending regulations. Regular fairness audits using demographic parity, equal opportunity, and calibration metrics. Transparent scoring with consumer-friendly explanations.
Incorporates non-traditional credit data: utility payments, rent history, mobile phone bills, education credentials, and employment verification. Enables scoring for thin-file and no-file consumers. Integrates with 50+ alternative data providers.
Direct integration with bank account data via Plaid, Yodlee, and other aggregators. Transaction categorization and cash flow analysis. Identifies income patterns, spending behavior, and financial stability indicators.
Comprehensive reporting dashboard with portfolio performance metrics, vintage analysis, and population stability index (PSI). Custom scorecards for different lending products. Segment-level analysis and cohort tracking.
Bank-grade encryption with SOC 2 Type II certification. GDPR, CCPA, and FCRA compliant. Multi-tenant architecture with data isolation. Automated audit trails and consumer access management.
Supports 50+ countries with localized credit scoring models. Adapts to regional regulations and credit bureau ecosystems. Multi-language support and currency handling. Cross-border credit assessment capabilities.
Real-World Applications Across Industries
Personal loans, auto loans, and mortgage underwriting with automated credit decisions. Reduces manual review time by 70% while improving approval rates for creditworthy borrowers. Integrates seamlessly with existing loan origination systems (LOS).
Instant credit card approvals with dynamic credit limit assignment. Real-time account monitoring for credit line increases. Fraud detection integrated with credit assessment. Pre-approved offer campaigns with precise targeting.
Comprehensive borrower assessment combining credit scores, debt-to-income ratios, and property valuations. Automated underwriting engine (AUS) integration. FHA, VA, and conventional loan support. Compliance with Dodd-Frank and TILA-RESPA requirements.
API-first platform for buy-now-pay-later (BNPL), peer-to-peer lending, and online installment loans. Supports instant decisioning at checkout. Mobile-first consumer experience with embedded credit offers. Real-time risk pricing.
Point-of-sale credit decisions for auto dealerships. Integration with dealer management systems (DMS). Supports both direct and indirect lending. Residual value calculations for lease financing. GAP insurance and warranty product recommendations.
Alternative credit scoring for underbanked populations using telecom data, utility payments, and microfinance history. Supports micro-lending and community development financial institutions (CDFIs). Refugee and immigrant credit assessment using international data.
Small business credit scoring using company financials, trade credit, and business owner personal credit. Invoice financing and working capital loans. Integration with accounting software (QuickBooks, Xero). Merchant cash advance decisioning.
Student loan assessment incorporating educational institution quality, degree program ROI, and co-signer evaluation. Income share agreement (ISA) risk modeling. Refinancing optimization for existing student debt. Outcomes-based repayment structuring.
Get started in 5 minutes
Install the WIA Credit Scoring SDK via npm or pip
Set up authentication and configure data source connections
Send borrower information for credit assessment
Get instant credit score with decision recommendation
Track model performance and portfolio health
// TypeScript Example
import { CreditScoringClient, Application } from '@wia/credit-scoring';
const client = new CreditScoringClient({
apiKey: 'your-api-key',
environment: 'production'
});
// Submit a credit application
const application: Application = {
applicant: {
firstName: 'John',
lastName: 'Doe',
ssn: '***-**-1234',
dateOfBirth: '1990-01-15',
email: 'john.doe@example.com',
phone: '+1-555-0100'
},
address: {
street: '123 Main St',
city: 'San Francisco',
state: 'CA',
zipCode: '94105',
residenceType: 'own',
monthsAtAddress: 60
},
employment: {
employer: 'Tech Corp',
jobTitle: 'Software Engineer',
annualIncome: 120000,
employmentStatus: 'full-time',
monthsEmployed: 36
},
loanRequest: {
amount: 25000,
purpose: 'debt_consolidation',
term: 36
}
};
// Get credit score and decision
const result = await client.score(application, {
includeExplanation: true,
includeBureauData: true,
includeAlternativeData: true
});
console.log(`Credit Score: ${result.score}`);
console.log(`Risk Grade: ${result.grade}`);
console.log(`Decision: ${result.decision}`);
console.log(`Approval Probability: ${result.approvalProbability}%`);
// Access detailed factors
result.factors.forEach(factor => {
console.log(`${factor.name}: ${factor.impact} (${factor.direction})`);
});
// Generate adverse action notice if declined
if (result.decision === 'decline') {
const notice = await client.generateAdverseActionNotice(result.id);
console.log(notice.reasons);
}
// Monitor the account over time
const monitoring = await client.monitorAccount({
accountId: result.accountId,
frequency: 'monthly',
alerts: ['score_decrease', 'delinquency', 'fraud']
});
console.log(`Monitoring enabled: ${monitoring.status}`);