Fetch Banking Data
Fetch data aggregation associated with loan request.
HTTPS Request
POST https://api.lenmo.app/api/v3/data_marketplace/data_aggregation/fetch_loan_request_data_aggs/
This endpoint receives loan_request_id and returns the data_aggregation associated with this loan_request.
Headers
Accept
String
The content type of the response.
X-API-KEY*
String
The API key that gives the user the authentication to perform this request.
X-Timestamp*
String
The timestamp of the request.
X-HMAC*
String
The HMAC generated for the request.
Request Body
loan_request_id*
Long
loan request id for the needed aggregation to fetch
Sample Request
curl -X POST "https://api.lenmo.app/api/v3/data_marketplace/data_aggregation/fetch_loan_request_data_aggs/" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "X-API-KEY: YOUR_API_KEY" \
-H "X-Timestamp: REQUEST_TIMESTAMP" \
-H "X-HMAC: REQUEST_HMAC" \
-d "{\"loan_request_id\": 1}"import requests
import json
url = 'https://api.lenmo.app/api/v3/data_marketplace/data_aggregation/fetch_loan_request_data_aggs/'
headers = {
'Accept': 'application/json',
'Content-Type: application/json',
'X-API-KEY': 'YOUR_API_KEY',
'X-Timestamp': 'REQUEST_TIMESTAMP',
'X-HMAC': 'REQUEST_HMAC'
}
body = {'loan_request_id': 1}
r = requests.post(url, json=body, headers=headers)
print(r.text)Sample Response
Response Parameters
created
Date
UTC time of data aggregation saved in the database.
borrower_bank_name_at_loan_request
String
Name of the borrower bank from which aggregation is fetched
borrower_bank_balance
String
Borrower balance in the bank provided the aggregation
data_aggregation
JSON
JSON object containing the data aggregation from the borrower's bank. It contains aggregation data provided by fiserv. Please, refer to DepAcctTrnInqRsentry in fiserv client's response.
agg_90
JSON
A JSON object containing aggregated data from the borrower's bank transactions in the last 90 days from the date of the loan request creation.
avg_credit
Float
Average income in the last 90 days.
avg_debit
Float
Average spending in the last 90 days.
credit_30
Float
Total income in the last 30 days.
debit_30
Float
Total spending in the last 30 days.
credit_60
Float
Total income in the last 30-60 days.
debit_60
Float
Total spending in the last 30-60 days.
credit_90
Float
Total income in the last 60-90 days.
debit_90
Float
Total spending in the last 60-90 days.
total_credit
Float
Total income in last 90 days.
total_debit
Float
Total spending in last 90 days.
misc_spending_last90
Float
Total amount spent in the miscellaneous expenses category in the last 90 days.
entertainment_spending_last90
Float
Total amount spent in the entertainment category in the last 90 days.
lifestyle_spending_last90
Float
Total amount spent in the Health & Lifestyle category in the last 90 days.
education_spending_last90
Float
Total amount spent in the Education category in the last 90 days.
bank_fees_spending_last90
Float
Total amount spent in the Bank Fees & Charges category in the last 90 days.
donations_spending_last90
Float
Total amount spent in the Donations category in the last 90 days.
goods_and_merch_spending_last90
Float
Total amount spent in the Goods & Merchandise category in the last 90 days.
home_expense_spending_last90
Float
Total amount spent in the Home Expenses category in the last 90 days.
services_spending_last90
Float
Total amount spent in the Services category in the last 90 days.
utilities_spending_last90
Float
Total amount spent in the Utilities category in the last 90 days.
credit_payment_spending_last90
Float
Total Amount spent in the Transfers & Adjustments category in the last 90 days.
transportation_spending_last_90
Float
Total Amount spent in the Travel & Transportation category in the last 90 days.
food_spending_last90
Float
Total Amount spent in the Food & Dining category in the last 90 days.
cash_advance_last90
Float
Total Amount spent in the Cash Advance subcategory in the last 90 days.
misc_spending_percentage_from_total
Float
Percentage spent on Miscellaneous expenses category from the total.
entertainment_spending_percentage_from_total
Float
Percentage spent on Entertainment category from the total.
lifestyle_spending_percentage_from_total
Float
Percentage spent on Health & Lifestyle category from the total.
education_spending_percentage_from_total
Float
Percentage spent on Education category from the total.
bank_fees_spending_percentage_from_total
Float
Percentage spent on Bank Fees & Charges category from the total.
donations_spending_percentage_from_total
Float
Percentage spent on Donations category from the total.
goods_and_merch_spending_percentage_from_total
Float
Percentage spent on Goods & Merchandise category from the total.
home_expense_spending_percentage_from_total
Float
Percentage spent on Home Expenses category from the total.
services_spending_percentage_from_total
Float
Percentage spent on Services category from the total.
utilities_spending_percentage_from_total
Float
Percentage spent on Utilities category from the total.
credit_payment_spending_percentage_from_total
Float
Percentage spent on Transfers & Adjustments category from the total.
transportation_spending_percentage_from_total
Float
Percentage spent on Travel & Transportation category from the total.
food_spending_percentage_from_total
Float
Percentage spent on Food category from the total.
cash_advance_percentage_from_total
Float
Percentage spent on Cash Advance subcategory from the total.
negative_balance_count
Integer
The number of times the borrower's bank balance went negative
Last updated