Dock Certs

Make any document fraud-proof and instantly verifiable.

Integrate the Dock Certs API with the Python API

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

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Run Python Code with Python API on New Credential Issued from Dock Certs API
Dock Certs + Python
 
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New Credential Issued from the Dock Certs API

Emit new event when a new credential is issued. See the documentation

 
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Issue Credential with the Dock Certs API

Issue a new credential. 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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List Credentials with the Dock Certs API

List existing credentials. See the documentation

 
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Revoke Credential with the Dock Certs API

Revoke an existing credential. See the documentation

 
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Overview of Dock Certs

The Dock Certs API provides a means for issuing verifiable credentials and decentralized identities, which are essential for managing digital proofs of various qualifications, memberships, or certifications. Using Pipedream's integration capabilities, you can automate the process of creating, revoking, and verifying these credentials. With Pipedream's serverless architecture, you can set up triggers and actions that respond to events in real-time, orchestrate data flow between Dock Certs and other services, and manage credentials with minimal manual intervention.

Connect Dock Certs

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    dock_certs: {
      type: "app",
      app: "dock_certs",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.dock_certs.$auth.endpoint}.dock.io/profiles`,
      headers: {
        "DOCK-API-TOKEN": `${this.dock_certs.$auth.api_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}}

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