Integrate the 21RISK API with the Python API

Setup the 21RISK API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate 21RISK and Python remarkably fast. Free for developers.

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Popular Ways to Connect 21RISK with Python#

Run Python Code with Python API on New Action Created from 21RISK API

21RISK + Python

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Run Python Code with Python API on New Auditor Created from 21RISK API

21RISK + Python

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Run Python Code with Python API on New Report Created from 21RISK API

21RISK + Python

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Popular 21RISK and Python Triggers#

New Action Created from the 21RISK API

Emit new event when a new action is created due to non-compliance in a risk-model category during an audit.

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New Auditor Created from the 21RISK API

Emit new event when a new auditor is created.

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New Report Created from the 21RISK API

Emit new event when a new report is created.

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Popular 21RISK 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 21RISK#

The 21RISK API provides functionalities to manage and monitor risk within organizations. Leveraging Pipedream's integration capabilities allows for automated workflows that can streamline risk management processes, trigger alerts, and synchronize risk data across various business tools. This API is particularly useful for organizations looking to automate their risk assessment and mitigation strategies effectively.

Connect 21RISK#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    _21risk: {
      type: "app",
      app: "_21risk",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://www.21risk.com/odata/v5/organizations`,
      headers: {
        Authorization: `Bearer ${this._21risk.$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}}

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