Integrate the Pointerpro API with the Filter API

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

Popular Pointerpro and Filter Actions#

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 Pointerpro#

The Pointerpro API enables automated interactions with Pointerpro's survey platform, allowing developers to create, manage, and analyze surveys without manual intervention. This can streamline feedback collection and data analysis, making it easier to integrate customer insights into business processes. With Pipedream, you can leverage the Pointerpro API to build custom workflows that trigger actions in other apps, based on survey responses or other events, making your data work for you in real-time.

Connect Pointerpro#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    pointerpro: {
      type: "app",
      app: "pointerpro",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.pointerpro.com/v1/respondents`,
      headers: {
        "Authorization": `API ${this.pointerpro.$auth.api_key}`,
        "Content-Type": `application/json`,
        "Accept": `application/json`,
      },
    })
  },
})

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#

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.")
    }
  },
})