Annature

Annature is the leading AU & NZ eSignature provider for small businesses and enterprises. We deliver a complete ISO 27001 certified Digital Transaction Management (DTM) solution built on blockchain technology.

Integrate the Annature API with the Python API

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

The Annature API provides functionality for electronic signatures, allowing documents to be signed digitally with ease and security. Integrating this API with Pipedream, users can automate document workflows, such as sending contracts for signature, tracking the status of documents, and storing signed agreements. By leveraging serverless workflows on Pipedream, these processes can be connected to hundreds of other apps to create efficient automation solutions.

Connect Annature

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    annature: {
      type: "app",
      app: "annature",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.annature.com.au/v1/accounts`,
      headers: {
        "Accept": `application/json`,
        "Content-Type": `application/json`,
        "X-Annature-Id": `${this.annature.$auth.id}`,
        "X-Annature-Key": `${this.annature.$auth.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}}