What do you want to automate

with fynk and Python?

Prompt, edit and deploy AI agents that connect to fynk, Python and 3,000+ other apps in seconds.

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Create Contract from Template with the fynk API

Create a new contract in Fynk based on an existing template. See the documentation

 
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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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Move Contract Stage with the fynk API

Move a contract forward in Fynk's lifecycle. See documentation pages move document to review stage and move document to signing stage

 
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Update Contract Metadata with the fynk API

Update metadata values or dynamic fields associated with a contract in Fynk. See the documentation

 
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Update Contract Party with the fynk API

Update the details of a party associated with a contract in Fynk. See the documentation

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

Connect fynk

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    fynk: {
      type: "app",
      app: "fynk",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://app.fynk.com/v1/api/me`,
      headers: {
        Authorization: `Bearer ${this.fynk.$auth.api_token}`,
      },
    })
  },
})

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}}

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo
Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo