Confection collects, stores, and distributes data in a way that's unaffected by client-side disruptions involving cookies, cross-domain scripts, and device IDs. It's also compliant with global privacy laws so it’s good for people too.
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.
Trigger your workflow on one or more days each month at a specific time (with timezone support).
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.
This action will retrieve the full details of a specified UUID.
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,
})
},
})
The Schedule app in Pipedream is a powerful tool that allows you to trigger workflows at regular intervals, ranging from every minute to once a year. This enables the automation of repetitive tasks and the scheduling of actions to occur without manual intervention. By leveraging this API, you can execute code, run integrations, and process data on a reliable schedule, all within Pipedream's serverless environment.