with Confection and Go?
Emit new event when a UUID receives a value for the configured Event Name. The latest value as well a history of all values ever received for that Event Name will be returned.
Emit new event when the UUID is significant enough to be classified as a lead. You define the field of significance and if a UUID gets a value for this field, it will trigger.
Emit new event when any UUID is created or updated. To learn more about how Confection handles UUIDs, visit https://confection.io/main/demo/#uuid
This action will retrieve the full details of a specified UUID.
Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.
This action will retrieve all UUIDs that have a likeness score of at least 50 (default) with the provided UUID. The likeness score can be customized in configuration.
Confection API provides a robust solution for collecting, managing, and utilizing user data in compliance with privacy regulations. It helps businesses capture data lost due to ad blockers and privacy tech, ensuring you don't miss out on valuable insights. With Pipedream, you can harness this data in real-time, triggering actions, analyzing trends, or integrating with other services for a comprehensive data strategy.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
confection: {
type: "app",
app: "confection",
}
},
async run({steps, $}) {
const data = {
"key": `${this.confection.$auth.secret_key}`,
}
return await axios($, {
url: `https://transmission.confection.io/${this.confection.$auth.account_id}/account/`,
data,
})
},
})
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)
}