Integrate the MaxMind minFraud API with the Python API

Setup the MaxMind minFraud API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate MaxMind minFraud and Python remarkably fast. Free for developers.

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Popular MaxMind minFraud and Python Actions#

Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

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Overview of MaxMind minFraud#

The MaxMind minFraud API provides a robust set of services designed to help businesses prevent fraudulent transactions by scoring online activities, providing insights based on IP risk, email checks, and other data points. Integrating this API into Pipedream workflows allows you to automate fraud checks and make informed decisions dynamically, based on the risk scores and data returned by minFraud.

Connect MaxMind minFraud#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    maxmind_minfraud: {
      type: "app",
      app: "maxmind_minfraud",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://minfraud.maxmind.com/minfraud/disposition/v1.0/updates`,
      headers: {
        "Accept": `application/json`,
      },
      auth: {
        username: `${this.maxmind_minfraud.$auth.account_id}`,
        password: `${this.maxmind_minfraud.$auth.license_key}`,
      },
      params: {
        updates_after: `2021-03-15T09:00:00.00000Z`,
      },
    })
  },
})

Overview of Python#

Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow.

This includes installing PyPI packages, within your code without having to manage a requirements.txt file or running pip.

Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:

Connect Python#

def handler(pd: "pipedream"):
  # Reference data from previous steps
  print(pd.steps["trigger"]["context"]["id"])
  # Return data for use in future steps
  return {"foo": {"test":True}}

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