ML-based credit scoring workflow using FinFlow.
import requests
def calculate_credit_score(applicant_data):
"""Calculate credit score for loan applicant"""
url = 'http://localhost:3005/api/credit/score'
headers = {'Authorization': f'Bearer {token}'}
response = requests.post(url, json=applicant_data, headers=headers)
response.raise_for_status()
return response.json()
# Example applicant data
applicant = {
'income': 75000,
'numInvoices': 45,
'avgCashflow': 5000,
'delinquencies': 0
}
result = calculate_credit_score(applicant)
print(f"Credit Score: {result['credit_score']:.2f}")
print(f"Risk Category: {result['risk_category']}")def generate_loan_offer(applicant_id, credit_score, requested_amount):
"""Generate personalized loan offer"""
url = 'http://localhost:3005/api/credit/loan-offer'
headers = {'Authorization': f'Bearer {token}'}
data = {
'applicantId': applicant_id,
'creditScore': credit_score,
'requestedAmount': requested_amount
}
response = requests.post(url, json=data, headers=headers)
response.raise_for_status()
return response.json()
# Generate offer
offer = generate_loan_offer('user-uuid', 0.78, 50000)
if offer['approved']:
print(f"✓ Loan Approved")
print(f"Amount: ${offer['offeredAmount']:,.2f}")
print(f"Interest Rate: {offer['interestRate']}%")
print(f"Term: {offer['termMonths']} months")
print(f"Monthly Payment: ${offer['monthlyPayment']:,.2f}")
else:
print("✗ Loan Declined")For more examples, see API Documentation.