Integrate the Keen API with the Schedule API

Setup the Keen API trigger to run a workflow which integrates with the Schedule API. Pipedream's integration platform allows you to integrate Keen and Schedule remarkably fast. Free for developers.

Popular Keen and Schedule Triggers#

Custom Interval from the Schedule API

Trigger your workflow every N hours, minutes or seconds.

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Daily schedule from the Schedule API

Trigger your workflow every day.

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Monthly Schedule from the Schedule API

Trigger your workflow on one or more days each month at a specific time (with timezone support).

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Weekly schedule from the Schedule API

Trigger your workflow on one or more days each week at a specific time (with timezone support).

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Overview of Keen#

Keen API empowers developers to capture, analyze, and embed event data into their applications, creating opportunities for deep analytics and custom visualization capabilities. With Keen, you can stream, store, and query large volumes of events, enabling real-time insights into user behavior, system performance, or any other metric that can be captured via events. On Pipedream, integrating Keen allows you to automate workflows by capturing these events and triggering actions in other apps, based on the data you gather.

Connect Keen#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    keen: {
      type: "app",
      app: "keen",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.keen.io/3.0/projects/${this.keen.$auth.projectId}/events`,
      params: {
        api_key: `${this.keen.$auth.apiKey}`,
      },
    })
  },
})

Overview of Schedule#

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.