Mercury

Bank

Integrate the Mercury API with the Python API

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

Run Python Code with Python API on New Transaction from Mercury API
Mercury + Python
 
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New Transaction from the Mercury API

Emit new event for each transaction in an account.

 
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Get Account Information with the Mercury API

Retrieve information about a specific account. 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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Overview of Mercury

The Mercury API offers a window into banking tailored for startups. With it, you can automate your financial operations, sync transaction data with your accounting software, and monitor your business financial health programmatically. Creating workflows on Pipedream with Mercury's API allows you to connect your banking data with numerous other apps to streamline payments, reconcile transactions, and keep a pulse on your company's money matters.

Connect Mercury

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    mercury: {
      type: "app",
      app: "mercury",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://backend.mercury.co/api/v1/accounts`,
      headers: {
        Authorization: `Bearer ${this.mercury.$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

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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}}