Send or receive millions of phone calls per day, using programmable voice agents that sound and feel human.
Analyzes an input call, extracting structured data and providing insights. See the documentation
Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.
Terminates a currently ongoing call using Bland AI. See the documentation
Retrieves the transcript of a specified call post-completion. See the documentation
The Bland AI API offers a suite of artificial intelligence services, which, when integrated with Pipedream, can automate tasks, analyze data, and enhance applications with machine learning capabilities. Through Pipedream's serverless platform, you can connect Bland AI with various apps to create custom workflows, process data, and respond to events in real time without managing infrastructure.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
bland_ai: {
type: "app",
app: "bland_ai",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.bland.ai/v1/calls`,
headers: {
"Authorization": `${this.bland_ai.$auth.api_key}`,
},
})
},
})
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.
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)
}