{
"info": {
"author": "Gregory Oschwald",
"author_email": "goschwald@maxmind.com",
"bugtrack_url": null,
"classifiers": [
"Development Status :: 5 - Production/Stable",
"Environment :: Web Environment",
"Intended Audience :: Developers",
"License :: OSI Approved :: Apache Software License",
"Programming Language :: Python",
"Programming Language :: Python :: 2.7",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.3",
"Programming Language :: Python :: 3.4",
"Programming Language :: Python :: 3.5",
"Programming Language :: Python :: 3.6",
"Topic :: Internet",
"Topic :: Internet :: Proxy Servers",
"Topic :: Internet :: WWW/HTTP"
],
"description": "================================================\nminFraud Score, Insights, and Factors Python API\n================================================\n\nDescription\n-----------\n\nThis package provides an API for the `MaxMind minFraud Score, Insights, and \nFactors web services `_.\n\nInstallation\n------------\n\nTo install the ``minfraud`` module, type:\n\n.. code-block:: bash\n\n $ pip install minfraud\n\nIf you are not able to use pip, you may also use easy_install from the\nsource directory:\n\n.. code-block:: bash\n\n $ easy_install .\n\nDocumentation\n-------------\n\nComplete API documentation is available on `Read the Docs\n`_.\n\nUsage\n-----\n\nTo use this API, create a new ``minfraud.Client`` object. The constructor\ntakes your MaxMind account ID and license key:\n\n.. code-block:: pycon\n\n >>> client = Client(42, 'licensekey')\n\nThe Factors service is called with the ``factors()`` method:\n\n.. code-block:: pycon\n\n >>> factors = client.factors({'device': {'ip_address': '81.2.69.160'}})\n\nThe Insights service is called with the ``insights()`` method:\n\n.. code-block:: pycon\n\n >>> insights = client.insights({'device': {'ip_address': '81.2.69.160'}})\n\nThe Score web service is called with the ``score()`` method:\n\n.. code-block:: pycon\n\n >>> score = client.score({'device': {'ip_address': '81.2.69.160'}})\n\nEach of these methods takes a dictionary representing the transaction to be sent\nto the web service. The structure of this dictionary should be in `the format\nspecified in the REST API documentation\n`_.\nThe ``ip_address`` in the ``device`` sub-dictionary is required. All other\nfields are optional.\n\nAssuming validation has not been disabled, before sending the transaction to\nthe web service, the transaction dictionary structure and content will be\nvalidated. If validation fails, a ``minfraud.InvalidRequestError``\nwill be raised.\n\nIf the dictionary is valid, a request will be made to the web service. If the\nrequest succeeds, a model object for the service response will be returned.\nIf the request fails, one of the errors listed below will be raised.\n\nErrors\n------\n\nThe possible errors are:\n\n* ``minfraud.AuthenticationError`` - This will be raised when the server\n is unable to authenticate the request, e.g., if the license key or account\n ID is invalid.\n* ``minfraud.InsufficientFundsError`` - This will be raised when `your\n account `_ is out of funds.\n* ``minfraud.InvalidRequestError`` - This will be raised when the server\n rejects the request as invalid for another reason, such as a missing or\n reserved IP address. It is also raised if validation of the request before\n it is sent to the server fails.\n* ``minfraud.HttpError`` - This will be raised when an unexpected HTTP\n error occurs such as a firewall interfering with the request to the server.\n* ``minfraud.MinFraudError`` - This will be raised when some other error\n occurs such as unexpected content from the server. This also serves as the\n base class for the above errors.\n\nExample\n-------\n\n.. code-block:: pycon\n\n >>> from minfraud import Client\n >>>\n >>> client = Client(42, 'licensekey')\n >>>\n >>> request = {\n >>> 'device': {\n >>> 'ip_address': '81.2.69.160',\n >>> 'accept_language': 'en-US,en;q=0.8',\n >>> 'session_age': 3600,\n >>> 'session_id': 'a333a4e127f880d8820e56a66f40717c',\n >>> 'user_agent': 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/41.0.2272.89 Safari/537.36'\n >>> },\n >>> 'event': {\n >>> 'shop_id': 's2123',\n >>> 'type': 'purchase',\n >>> 'transaction_id': 'txn3134133',\n >>> 'time': '2014-04-12T23:20:50.052+00:00'\n >>> },\n >>> 'account': {\n >>> 'user_id': '3132',\n >>> 'username_md5': '570a90bfbf8c7eab5dc5d4e26832d5b1'\n >>> },\n >>> 'email': {\n >>> 'address': '977577b140bfb7c516e4746204fbdb01',\n >>> 'domain': 'maxmind.com'\n >>> },\n >>> 'billing': {\n >>> 'first_name': 'Jane',\n >>> 'last_name': 'Doe',\n >>> 'company': 'Company',\n >>> 'address': '101 Address Rd.',\n >>> 'address_2': 'Unit 5',\n >>> 'city': 'Hamden',\n >>> 'region': 'CT',\n >>> 'country': 'US',\n >>> 'postal': '06510',\n >>> 'phone_country_code': '1',\n >>> 'phone_number': '323-123-4321',\n >>> },\n >>> 'shipping': {\n >>> 'first_name': 'John',\n >>> 'last_name': 'Doe',\n >>> 'company': 'ShipCo',\n >>> 'address': '322 Ship Addr. Ln.',\n >>> 'address_2': 'St. 43',\n >>> 'city': 'New Haven',\n >>> 'region': 'CT',\n >>> 'country': 'US',\n >>> 'postal': '06510',\n >>> 'phone_country_code': '1',\n >>> 'phone_number': '403-321-2323',\n >>> 'delivery_speed': 'same_day',\n >>> },\n >>> 'credit_card': {\n >>> 'bank_phone_country_code': '1',\n >>> 'avs_result': 'Y',\n >>> 'bank_phone_number': '800-342-1232',\n >>> 'last_4_digits': '7643',\n >>> 'cvv_result': 'N',\n >>> 'bank_name': 'Bank of No Hope',\n >>> 'issuer_id_number': '323132'\n >>> },\n >>> 'payment': {\n >>> 'decline_code': 'invalid number',\n >>> 'was_authorized': False,\n >>> 'processor': 'stripe'\n >>> },\n >>> 'shopping_cart': [{\n >>> 'category': 'pets',\n >>> 'quantity': 2,\n >>> 'price': 20.43,\n >>> 'item_id': 'lsh12'\n >>> }, {\n >>> 'category': 'beauty',\n >>> 'quantity': 1,\n >>> 'price': 100.0,\n >>> 'item_id': 'ms12'\n >>> }],\n >>> 'order': {\n >>> 'affiliate_id': 'af12',\n >>> 'referrer_uri': 'http://www.amazon.com/',\n >>> 'subaffiliate_id': 'saf42',\n >>> 'discount_code': 'FIRST',\n >>> 'currency': 'USD',\n >>> 'amount': 323.21\n >>> },\n >>> 'custom_inputs': {\n >>> 'section': 'news',\n >>> 'num_of_previous_purchases': 19,\n >>> 'discount': 3.2,\n >>> 'previous_user': True\n >>> }\n >>> }\n >>>\n >>> client.score(request)\n Score(...)\n >>>\n >>> client.insights(request)\n Insights(...)\n >>>\n >>> client.factors(request)\n Factors(...)\n\nRequirements\n------------\n\nThis code requires Python 2.7+ or 3.3+. Older versions are not supported.\nThis library has been tested with CPython and PyPy.\n\nVersioning\n----------\n\nThe minFraud Python API uses `Semantic Versioning `_.\n\nSupport\n-------\n\nPlease report all issues with this code using the `GitHub issue tracker\n`_.\n\nIf you are having an issue with a MaxMind service that is not specific to the\nclient API, please contact `MaxMind support `_\nfor assistance.\n\nCopyright and License\n---------------------\n\nThis software is Copyright \u00a9 2015-2018 by MaxMind, Inc.\n\nThis is free software, licensed under the Apache License, Version 2.0.\n",
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