Spydra
The Ultimate Asset Tokenization Platform, for Businesses
Integrate the Spydra API with the Python API
Setup the Spydra API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Spydra and Python remarkably fast. Free for developers.
Popular Spydra and Python Actions#
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Overview of Spydra#
The Spydra API lets you automate interactions with the Spydra search engine, enabling developers to query various databases and information repositories. With Spydra's API on Pipedream, one can build powerful serverless workflows that respond to events, process data, and integrate with countless other services. You could create triggers that kick off actions whenever specific conditions are met, or schedule searches to ensure you're always informed with the latest data.
Connect Spydra#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
spydra: {
type: "app",
app: "spydra",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://${this.spydra.$auth.membership_id}.spydra.app/tokenize/${this.spydra.$auth.app_id}/status`,
headers: {
"X-API-KEY": `${this.spydra.$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#
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}}