Integrate the MX Technologies API with the Python API

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

Popular Ways to Connect MX Technologies with Python#

Run Python Code with Python API on New User Created from MX Technologies API

MX Technologies + Python

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Popular MX Technologies and Python Triggers#

New User Created from the MX Technologies API

Emit new event for each new user created.

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Popular MX Technologies and Python Actions#

Create Account with the MX Technologies API

Creates a new account for a specific user. See the documentation

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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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Create User with the MX Technologies API

Creates a new user in the MX Technologies platform. See the documentation

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Overview of MX Technologies#

The MX Technologies API provides a range of financial data solutions, enabling users to obtain insights into personal finances, conduct risk analysis, and offer personalized financial advice. Within Pipedream, you can harness the power of the MX API to automate financial data aggregation, customer profiling, and trigger custom workflows based on financial events or changes in user data.

Connect MX Technologies#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    mx_technologies: {
      type: "app",
      app: "mx_technologies",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.mx_technologies.$auth.environment}.mx.com/users`,
      headers: {
        "Accept": `application/vnd.mx.api.v1+json`,
      },
      auth: {
        username: `${this.mx_technologies.$auth.client_id}`,
        password: `${this.mx_technologies.$auth.api_key}`,
      },
    })
  },
})

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}}