Spydra

The Ultimate Asset Tokenization Platform, for Businesses

Integrate the Spydra API with the Go API

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

Run Go Code with the Go API

Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.

 
Try it

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

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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 Go

You can execute custom Go scripts on-demand or in response to various triggers and integrate with thousands of apps supported by Pipedream. Writing with Go on Pipedream enables backend operations like data processing, automation, or invoking other APIs, all within the Pipedream ecosystem. By leveraging Go's performance and efficiency, you can design powerful and fast workflows to streamline complex tasks.

Connect Go

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package main

import (
	"fmt"

	pd "github.com/PipedreamHQ/pipedream-go"
)

func main() {
	// Access previous step data using pd.Steps
	fmt.Println(pd.Steps)

	// Export data using pd.Export
	data := make(map[string]interface{})
	data["name"] = "Luke"
	pd.Export("data", data)
}