DataTrails (formerly RKVST)
DataTrails (formerly RKVST is an API-first platform to add provenance and verify the authenticity of any digital content.)
Integrate the DataTrails (formerly RKVST) API with the Python API
Setup the DataTrails (formerly RKVST) API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate DataTrails (formerly RKVST) and Python remarkably fast. Free for developers.
Popular DataTrails (formerly RKVST) and Python Triggers#
Emit new event when a new asset is created.
Emit new event for each new activity related to any asset within the platform. Note that event only emitted when it is created by the API or Pipedream DataTrails action: Create new Event.
Popular DataTrails (formerly RKVST) and Python Actions#
Allows for the addition of a new asset into the RKVST system. See the documentation
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Create a new event based on an asset. See the documentation
Overview of DataTrails (formerly RKVST)#
The DataTrails API, formerly known as RKVST, is designed to track the provenance and integrity of digital assets across their lifecycle. With this API, you can create an immutable record of actions, decisions, and processes that affect any asset, thereby providing an auditable trail. Leveraging Pipedream, you can automate workflows that require secure, verifiable, and traceable asset history. You can react to events in real-time, integrate with other services, and trigger actions based on asset changes or compliance checks.
Connect DataTrails (formerly RKVST)#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
rkvst: {
type: "app",
app: "rkvst",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://app.datatrails.ai/archivist/v2/assets`,
headers: {
Authorization: `Bearer ${this.rkvst.$auth.oauth_access_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#
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}}