Tolstoy
Deliver personal conversations, anytime and anywhere with Tolstoy interactive videos.
Integrate the Tolstoy API with the Go API
Setup the Tolstoy API trigger to run a workflow which integrates with the Go API. Pipedream's integration platform allows you to integrate Tolstoy and Go remarkably fast. Free for developers.
Popular Tolstoy 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 Tolstoy#
The Tolstoy API offers a suite of tools for engaging with customers through interactive video experiences. With it, you can automate the creation, analysis, and management of interactive video content, streamlining how you engage with your audience. By leveraging the Tolstoy API on Pipedream, you can create powerful automations that react to video interactions, manage leads, and trigger personalized follow-ups based on viewer behavior. This supports a more dynamic and responsive marketing strategy, improves lead qualification processes, and enhances customer support by providing interactive video experiences tailored to user actions and feedback.
Connect Tolstoy#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
tolstoy: {
type: "app",
app: "tolstoy",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.gotolstoy.com/users/me`,
headers: {
Authorization: `Bearer ${this.tolstoy.$auth.api_key}`,
},
})
},
})
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)
}