BuildChatbot

No-code chatbot that empowers businesses to build conversational experiences using private data.

Integrate the BuildChatbot API with the Filter API

Setup the BuildChatbot API trigger to run a workflow which integrates with the Filter API. Pipedream's integration platform allows you to integrate BuildChatbot 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 BuildChatbot

The BuildChatbot API allows you to create and manage chatbots with ease. This API provides a suite of tools to build conversational AI that can engage with users across various platforms. On Pipedream, you can leverage these capabilities to automate interactions, analyze sentiments, and connect with other services. With Pipedream's serverless platform, you can trigger workflows based on chatbot events, send data to and from your chatbot, and integrate with countless apps to extend functionality.

Connect BuildChatbot

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