Evenium

We develop the best web and mobile technologies to deliver great experiences and engage participants at meetings and events

Integrate the Evenium API with the Go API

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

The Evenium API offers a toolkit for automating and integrating event management tasks into Pipedream's serverless platform. With the Evenium API, you can create workflows that automate event creation, attendee management, and real-time analytics tracking. This enables you to seamlessly synchronize event details with other apps, send personalized communications, and manage registrations with minimal manual intervention.

Connect Evenium

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    evenium: {
      type: "app",
      app: "evenium",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://secure.evenium.com/api/1/contacts`,
      params: {
        accessToken: `${this.evenium.$auth.access_token}`,
      },
    })
  },
})

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)
}