Frontegg

Elegant User Management platform for B2B SaaS.

Integrate the Frontegg API with the Go API

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

Create Template with the Frontegg API

Create an email template in Frontegg. 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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Overview of Frontegg

The Frontegg API provides a suite of functionalities centered around user management, authentication, and security. It simplifies the integration of these essential features into any application. On Pipedream, you can tap into Frontegg's capabilities to automate and enhance user experience by crafting workflows that respond to events, manage user data, and enforce security protocols.

Connect Frontegg

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    frontegg: {
      type: "app",
      app: "frontegg",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.frontegg.$auth.geo_location}.frontegg.com/identity/resources/configurations/v1`,
      headers: {
        Authorization: `Bearer ${this.frontegg.$auth.oauth_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)
}