Integrate the Kaleido API with the Python API

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

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Popular Kaleido and Python Actions#

Create Contract with the Kaleido API

Create a contract in Kaleido. 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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Create Membership with the Kaleido API

Create a membership for a consortia in Kaleido. See the documentation

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Delete Contract with the Kaleido API

Delete a contract in Kaleido. See the documentation

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Overview of Kaleido#

Kaleido provides an API for creating and managing blockchain networks and services. By integrating with Pipedream, you can automate various blockchain tasks such as deploying smart contracts, managing consortia, and handling tokens without managing infrastructure. Pipedream's serverless platform enables you to connect Kaleido with hundreds of other apps to create powerful and scalable workflows.

Connect Kaleido#

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

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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