Lucid

Lucid is the Visual Collaboration Suite for enterprise and hybrid teams of all sizes.

Integrate the Lucid API with the Go API

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

The Lucid API enables developers to automate visual communication processes by programmatically manipulating Lucidchart and Lucidpress documents. This allows for dynamic creation and updates of diagrams, visual workflows, and marketing materials, ensuring that teams can streamline their design operations with current data. Integrations via Pipedream can enhance this by triggering actions in Lucid based on events in other apps, or vice versa.

Connect Lucid

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    lucid: {
      type: "app",
      app: "lucid",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.lucid.co/users/me/profile`,
      headers: {
        Authorization: `Bearer ${this.lucid.$auth.oauth_access_token}`,
        "Lucid-Api-Version": `1`,
      },
    })
  },
})

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)
}