Tremendous

Buy, track, and manage incentives at scale with ease.

Integrate the Tremendous API with the Go API

Setup the Tremendous API trigger to run a workflow which integrates with the Go API. Pipedream's integration platform allows you to integrate Tremendous 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 Tremendous

The Tremendous API lets you automate the distribution of digital rewards and incentives, such as gift cards, prepaid Visa® cards, cash, and more. It's perfect for businesses wanting to scale their reward programs without manual intervention. With Pipedream, you can harness the Tremendous API to create dynamic, serverless workflows that trigger rewards based on various events, integrate with CRM systems for customer milestones, or streamline employee recognition processes.

Connect Tremendous

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    tremendous: {
      type: "app",
      app: "tremendous",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://testflight.tremendous.com/api/v2/organizations`,
      headers: {
        Authorization: `Bearer ${this.tremendous.$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)
}