Integrate the Nightfall.ai API with the Python API

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

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Popular Nightfall.ai 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 Nightfall.ai#

The Nightfall.ai API excels in identifying and managing sensitive information exposed in text and file payloads. With Pipedream's serverless integration platform, you can wire Nightfall.ai into a variety of workflows to automate data protection and compliance processes. By tapping into Nightfall's machine learning capabilities, you can build workflows that scan and react to data in motion, ensuring sensitive info like credit card numbers, passwords, or Personally Identifiable Information (PII) is caught and handled securely.

Connect Nightfall.ai#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    nightfall_ai: {
      type: "app",
      app: "nightfall_ai",
    }
  },
  async run({steps, $}) {
    const data = {
      "fileSizeBytes": `123`,
    }
    return await axios($, {
      method: "post",
      url: `https://api.nightfall.ai/v3/upload`,
      headers: {
        Authorization: `Bearer ${this.nightfall_ai.$auth.api_key}`,
        "Accept": `application/json`,
        "Content-Type": `application/json`,
      },
      data,
    })
  },
})

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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