Databox

Connect your data from any tool and track it from any device. No more logging into dozens of different tools to understand performance — now you and your team can easily connect your data, build and share reports, monitor trends, and discover insights.

Integrate the Databox API with the Filter API

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

Send Custom Data with the Databox API

Sends custom data. See docs here

 
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Continue execution if a condition Is met with the Filter API

Continue workflow execution only if a condition is met

 
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End execution if a condition is met with the Filter API

End workflow execution if a condition is met

 
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Overview of Databox

The Databox API enables you to create custom dashboards, integrating various data sources to track performance metrics in real-time. With Pipedream, you can leverage this API to automate the flow of data between Databox and other applications, creating bespoke monitoring solutions and data-driven workflows that save time and enhance insights.

Connect Databox

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import Databox from 'databox'

export default defineComponent({ 
  props: {
    databox: {
      type: "app",
      app: "databox",
    },
  },
  async run({steps, $}) {
    const client = new Databox({
      push_token: `${this.databox.$auth.token}`
    })
    return await new Promise((resolve) => client.metrics((metrics) => resolve(metrics)))
  }
})

Overview of Filter

The Filter API in Pipedream allows for real-time data processing within workflows. It's designed to evaluate data against predefined conditions, enabling workflows to branch or perform specific actions based on those conditions. This API is instrumental in creating efficient, targeted automations that respond dynamically to diverse datasets. Using the Filter API, you can refine streams of data, ensuring that subsequent steps in your Pipedream workflow only execute when the data meets your specified criteria. This cuts down on unnecessary processing and facilitates the creation of more intelligent, context-aware systems.

Connect Filter

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export default defineComponent({
  async run({ steps, $ }) {
    let condition = false
    if (condition == false) {
      $.flow.exit("Ending workflow early because the condition is false")
    } else {
        $.export("$summary", "Continuing workflow, since condition for ending was not met.")
    }
  },
})