Build Custom Chatbots and GPTs for Your Website, Social Media, Texting Messaging, Phone Calls, & More!
Emit new event when you add or modify a new row in a table. See the docs here
Emit new event when new rows are returned from a custom query. See the docs here
Emit new event when a new table is added to a database. See the docs here
The Chatbot Builder API allows you to create and manage customized chatbots that can interact with users in real-time. Within Pipedream's serverless platform, this API can be harnessed to build powerful workflows that react to messages, automate responses, and integrate with a plethora of other services. With Pipedream, you can set up event-driven processes, making it easy to manage chatbot activities, analyze conversations, and trigger actions in other apps based on chatbot interactions.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
chatbot_builder: {
type: "app",
app: "chatbot_builder",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://app.chatgptbuilder.io/api/accounts/me`,
headers: {
"X-ACCESS-TOKEN": `${this.chatbot_builder.$auth.api_access_token}`,
"Accept": `application/json`,
},
})
},
})
The MySQL application on Pipedream enables direct interaction with your MySQL databases, allowing you to perform CRUD operations—create, read, update, delete—on your data with ease. You can leverage these capabilities to automate data synchronization, report generation, and event-based triggers that kick off workflows in other apps. With Pipedream's serverless platform, you can connect MySQL to hundreds of other services without managing infrastructure, crafting complex code, or handling authentication.
import mysql from '@pipedream/mysql';
export default defineComponent({
props: {
mysql,
},
async run({steps, $}) {
// Component source code:
// https://github.com/PipedreamHQ/pipedream/tree/master/components/mysql
const queryObj = {
sql: "SELECT NOW()",
values: [], // Ignored since query does not contain placeholders
};
return await this.mysql.executeQuery(queryObj);
},
});