Msme score (Kenya)

Predicts probability that a user, identified as MSME, will not repay a loan on time using Pngme's machine learning risk model, trained on loan outcomes of users with similar financial profiles.

This model is optimized for users who primarily transact in Kenyan shillings and are identified as msmes. Use Predict risk score (Nigeria) for users who primarily transact in Nigerian naira or Predict Risk Score (Kenya) for Kenyan non-msmes.

See the Quickstart Guide for a tutorial on integrating the risk scoring model into your loan application workflow.

Recent Requests
Log in to see full request history
TimeStatusUser Agent
Retrieving recent requests…
LoadingLoading…
Query Params
string
Defaults to 25412345678X

Phone number including the country code. This should match the phone number passed to the mobile SDK. If given, external_id and user_uuid must not be specified.

string

Identifies the user using a key external to Pngme's systems. This should match the external_id passed to the mobile SDK. If given, phone_number and user_uuid must not be specified.

string

Unique identifier generated when a user is created by your mobile app. If given external_id and phone_number must not be specified.

date-time
Defaults to 2023-11-17T00:00:00

Represents the timestamp until which all the fields of the report will be calculated. If not specified, the request instant will be used as timestamp.

Responses

400

Invalid parameters or insufficient data to estimate msme score

401

Not authenticated

403

Not authorized

Language
Credentials
Bearer
LoadingLoading…
Response
Click Try It! to start a request and see the response here! Or choose an example:
application/json