minfraud 1.12.1

MaxMind minFraud Score, Insights, Factors and Report Transactions API

Description

This package provides an API for the MaxMind minFraud Score, Insights, and Factors web services as well as the Report Transaction web service.

Installation

To install the minfraud module, type:

$ pip install minfraud

If you are not able to use pip, you may also use easy_install from the source directory:

$ easy_install .

Documentation

Complete API documentation is available on Read the Docs.

Usage

To use this API, create a new minfraud.Client object. The constructor takes your MaxMind account ID and license key:

>>> client = Client(42, 'licensekey')

Score, Insights and Factors Usage

The Factors service is called with the factors() method:

>>> factors = client.factors({'device': {'ip_address': '81.2.69.160'}})

The Insights service is called with the insights() method:

>>> insights = client.insights({'device': {'ip_address': '81.2.69.160'}})

The Score web service is called with the score() method:

>>> score = client.score({'device': {'ip_address': '81.2.69.160'}})

Each of these methods takes a dictionary representing the transaction to be sent to the web service. The structure of this dictionary should be in the format specified in the REST API documentation. The ip_address in the device sub-dictionary is required. All other fields are optional.

Report Transactions Usage

MaxMind encourages the use of this API as data received through this channel is used to continually improve the accuracy of our fraud detection algorithms. The Report Transaction web service is called with the report() method:

>>> client.report({'ip_address': '81.2.69.160', 'tag': 'chargeback'})

The method takes a dictionary representing the report to be sent to the web service. The structure of this dictionary should be in the format specified in the REST API documentation. The ip_address and tag fields are required. All other fields are optional.

Request Validation (for all request methods)

Assuming validation has not been disabled, before sending the transaction to the web service, the transaction dictionary structure and content will be validated. If validation fails, a minfraud.InvalidRequestError will be raised.

If the dictionary is valid, a request will be made to the web service. If the request succeeds, a model object for the service response will be returned. If the request fails, one of the errors listed below will be raised.

Errors

The possible errors are:

• minfraud.AuthenticationError - This will be raised when the server is unable to authenticate the request, e.g., if the license key or account ID is invalid.

• minfraud.InvalidRequestError - This will be raised when the server rejects the request as invalid for another reason, such as a missing or reserved IP address. It is also raised if validation of the request before it is sent to the server fails.

• minfraud.HttpError - This will be raised when an unexpected HTTP error occurs such as a firewall interfering with the request to the server.

• minfraud.MinFraudError - This will be raised when some other error occurs such as unexpected content from the server. This also serves as the base class for the above errors.

Additionally, score, insights and factors may also raise:

• minfraud.InsufficientFundsError - This will be raised when your account is out of funds.

Examples

Score, Insights and Factors Example

>>> from minfraud import Client
>>>
>>> client = Client(42, 'licensekey')
>>>
>>> request = {
>>>     'device': {
>>>         'ip_address': '81.2.69.160',
>>>         'accept_language': 'en-US,en;q=0.8',
>>>         'session_age': 3600,
>>>         'session_id': 'a333a4e127f880d8820e56a66f40717c',
>>>         'user_agent': 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/41.0.2272.89 Safari/537.36'
>>>     },
>>>     'event': {
>>>         'shop_id': 's2123',
>>>         'type': 'purchase',
>>>         'transaction_id': 'txn3134133',
>>>         'time': '2014-04-12T23:20:50.052+00:00'
>>>     },
>>>     'account': {
>>>         'user_id': '3132',
>>>         'username_md5': '570a90bfbf8c7eab5dc5d4e26832d5b1'
>>>     },
>>>     'email': {
>>>         'address': '977577b140bfb7c516e4746204fbdb01',
>>>         'domain': 'maxmind.com'
>>>     },
>>>     'billing': {
>>>         'first_name': 'Jane',
>>>         'last_name': 'Doe',
>>>         'company': 'Company',
>>>         'address': '101 Address Rd.',
>>>         'address_2': 'Unit 5',
>>>         'city': 'Hamden',
>>>         'region': 'CT',
>>>         'country': 'US',
>>>         'postal': '06510',
>>>         'phone_country_code': '1',
>>>         'phone_number': '323-123-4321',
>>>     },
>>>     'shipping': {
>>>         'first_name': 'John',
>>>         'last_name': 'Doe',
>>>         'company': 'ShipCo',
>>>         'address': '322 Ship Addr. Ln.',
>>>         'address_2': 'St. 43',
>>>         'city': 'New Haven',
>>>         'region': 'CT',
>>>         'country': 'US',
>>>         'postal': '06510',
>>>         'phone_country_code': '1',
>>>         'phone_number': '403-321-2323',
>>>         'delivery_speed': 'same_day',
>>>     },
>>>     'credit_card': {
>>>         'bank_phone_country_code': '1',
>>>         'avs_result': 'Y',
>>>         'bank_phone_number': '800-342-1232',
>>>         'last_4_digits': '7643',
>>>         'cvv_result': 'N',
>>>         'bank_name': 'Bank of No Hope',
>>>         'issuer_id_number': '323132'
>>>     },
>>>     'payment': {
>>>         'decline_code': 'invalid number',
>>>         'was_authorized': False,
>>>         'processor': 'stripe'
>>>     },
>>>     'shopping_cart': [{
>>>         'category': 'pets',
>>>         'quantity': 2,
>>>         'price': 20.43,
>>>         'item_id': 'lsh12'
>>>     }, {
>>>         'category': 'beauty',
>>>         'quantity': 1,
>>>         'price': 100.0,
>>>         'item_id': 'ms12'
>>>     }],
>>>     'order': {
>>>         'affiliate_id': 'af12',
>>>         'referrer_uri': 'http://www.amazon.com/',
>>>         'subaffiliate_id': 'saf42',
>>>         'discount_code': 'FIRST',
>>>         'currency': 'USD',
>>>         'amount': 323.21
>>>      },
>>>     'custom_inputs': {
>>>         'section': 'news',
>>>         'num_of_previous_purchases': 19,
>>>         'discount': 3.2,
>>>         'previous_user': True
>>>     }
>>> }
>>>
>>> client.score(request)
Score(...)
>>>
>>> client.insights(request)
Insights(...)
>>>
>>> client.factors(request)
Factors(...)

Report Transactions Example

>>> from minfraud import Client
>>>
>>> client = Client(42, 'licensekey')
>>>
>>> transaction_report = {
>>>     'ip_address': '81.2.69.160',
>>>     'tag': 'chargeback',
>>>     'minfraud_id': '2c69df73-01c0-45a5-b218-ed85f40b17aa',
>>> }
>>> client.report(transaction_report)

Requirements

This code requires Python 2.7+ or 3.5+. Older versions are not supported. This library has been tested with CPython and PyPy.

Versioning

The minFraud Python API uses Semantic Versioning.

Support

Please report all issues with this code using the GitHub issue tracker.

If you are having an issue with a MaxMind service that is not specific to the client API, please contact MaxMind support for assistance.

Copyright and License

This software is Copyright © 2015-2020 by MaxMind, Inc.

This is free software, licensed under the Apache License, Version 2.0.