Persona

Persona offers identity infrastructure that allows you to craft personalized and automated verification solutions so you can better understand & protect users.

Integrate the Persona API with the Python API

Setup the Persona API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Persona 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 Persona

The Persona API lets you automate identity verification processes, tailor user onboarding, and ensure compliance with ease. Within Pipedream, you can use this API to create robust serverless workflows that trigger actions based on verification status, update CRM records, or even flag high-risk activities. Combining Persona with Pipedream's vast suite of integrated apps means you can streamline operations, enhance user trust, and maintain security without the heavy lifting of manual intervention.

Connect Persona

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    persona: {
      type: "app",
      app: "persona",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://withpersona.com/api/v1/accounts`,
      headers: {
        Authorization: `Bearer ${this.persona.$auth.api_key}`,
        "Accept": `application/json`,
        "Persona-Version": `2023-01-05`,
      },
    })
  },
})

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

1
2
3
4
5
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}}