What do you want to automate
with Dialpad and Go?
Prompt, edit and deploy AI agents that connect to Dialpad, Go and 2,800+ other apps in seconds.
Trusted by 1,000,000+ developers from startups to Fortune 500 companies
Popular Dialpad and Go Triggers#
Emit new call event subscription. See Event doc and webhook doc
Emit new contact event subscription. See Event doc and webhook doc
Emit new SMS event subscription. See Event doc and webhook doc
Emit update contact event subscription. See Event doc and webhook doc
Popular Dialpad and Go Actions#
Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.
Overview of Dialpad#
The Dialpad API taps into the core of Dialpad's communication platform, allowing for the automation of voice and messaging workflows. By leveraging this API through Pipedream, you can interact with call data, manage users, and automate sending of SMS messages, among other tasks. This enables the creation of intricate, automated processes that can enhance business communication efficiency, customer support, and team collaboration within your organization.
Connect Dialpad#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
dialpad: {
type: "app",
app: "dialpad",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://dialpad.com/api/v2/users/me`,
headers: {
Authorization: `Bearer ${this.dialpad.$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#
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)
}Trusted by 1,000,000+ developers from startups to Fortune 500 companies