Enigma

Enigma provides fresh, accurate data about the identity and financial health of every small business.

Integrate the Enigma API with the Python API

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

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.

 
Try it

Overview of Enigma

The Enigma API offers access to a vast repository of global public data, which can be harnessed to enrich business intelligence, enhance analytics, and automate due diligence processes. By tapping into Enigma's curated datasets on Pipedream, you can seamlessly integrate real-time insights into your applications or workflows, perform comprehensive data analysis, and cross-reference multiple sources to uncover critical information on businesses, markets, and economies.

Connect Enigma

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    enigma: {
      type: "app",
      app: "enigma",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.enigma.com/businesses/{your_enigma_id}`,
      headers: {
        "x-api-key": `${this.enigma.$auth.api_key}`,
        "accept": `application/json`,
      },
      params: {
        lookback_months: `1`,
      },
    })
  },
})

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}}