Hyros

Advertising Sales & AI Sales Attribution

Integrate the Hyros API with the Go API

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

Create Call with the Hyros API

Create a new call. See the documentation

 
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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.

 
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Create Lead with the Hyros API

Create a new lead. See the documentation

 
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Overview of Hyros

The Hyros API offers the ability to track and analyze customer interactions across various marketing channels, aiming to improve ad tracking and ROI. Integrated within Pipedream, it allows for the automation of data collection, real-time analytics, and operational workflows. By leveraging Pipedream's serverless platform, developers can create workflows that respond to events from Hyros, trigger actions based on data insights, or synchronize data with other apps seamlessly.

Connect Hyros

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    hyros: {
      type: "app",
      app: "hyros",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.hyros.com/v1/api/v1.0/user-info`,
      headers: {
        "API-Key": `${this.hyros.$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)
}