with ManyChat and FlowiseAI?
Emit new event when a selected custom field on a user profile is added or updated. See the documentation
Adds a specific tag to a user specified by their user ID. This action is essential to categorize and filter users based on business-specific parameters. See the documentation
Calculates an output based on your created flow in Flowise. See the documentation
Locates a user based on a particular custom field's value. See the documentation
Delivers a dynamic message to a particular user specified by their user ID. See the documentation
The ManyChat API lets you manage and automate conversations in your chatbot, giving you control over user data, tags, and messaging. Integrating ManyChat with Pipedream can supercharge your chatbot workflows, enabling you to connect your ManyChat bot to various apps and services, automate interactions based on triggers, and analyze chatbot data to improve user engagement.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
manychat: {
type: "app",
app: "manychat",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.manychat.com/fb/page/getInfo`,
headers: {
Authorization: `Bearer ${this.manychat.$auth.api_key}`,
"accept": `application/json`,
},
})
},
})
The FlowiseAI API offers powerful AI-driven capabilities to enhance data with smart predictions and insights. In Pipedream, you can leverage this API to automate tasks, analyze large sets of data, and build intelligent workflows that respond to the AI's output. FlowiseAI can pair with various apps on Pipedream to enrich CRM data, optimize marketing campaigns, or streamline customer support processes.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
flowiseai: {
type: "app",
app: "flowiseai",
}
},
async run({steps, $}) {
return await axios($, {
method: "POST",
url: `https://pipedreamtest.onrender.com/api/v1/prediction/{{your_chatflow_id}}`,
headers: {
Authorization: `Bearer ${this.flowiseai.$auth.api_key}`,
"Content-Type": `application/json`,
},
data: {
question: "{{your_prompt}}"
}
})
},
})