HappyFox Chat

HappyFox Chat is a live chat software to connect, engage and convert customers.

Integrate the HappyFox Chat API with the Filter API

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

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 HappyFox Chat

The HappyFox Chat API equips you with the capability to enhance customer support interactions by automating chat-related tasks, extracting chat data for analysis, and connecting chat events with other business tools. By leveraging this API with Pipedream's serverless platform, you can create powerful workflows that respond to chat events in real-time, synchronize chat data across platforms, and augment your support system with advanced features like dynamic responses or customer satisfaction analysis.

Connect HappyFox Chat

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    happyfox_chat: {
      type: "app",
      app: "happyfox_chat",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.happyfoxchat.com/v1/agents`,
      headers: {
        Authorization: `Bearer ${this.happyfox_chat.$auth.api_token}`,
      },
    })
  },
})

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.")
    }
  },
})