Chat with your data using AI powered Assistants.
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
Retrieves a list of conversations with the specified Bot in Hansei. See the documentation
The Hansei API enables you to extract meaningful insights from reflections and journals using AI. By integrating this API with Pipedream, you can automate the process of analyzing and responding to journal entries, streamlining mental health tracking, and personal growth exercises. Pipedream’s serverless platform offers a robust way to connect Hansei with various other apps, allowing for seamless workflow creation and data manipulation.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
hansei: {
type: "app",
app: "hansei",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.hansei.app/public/v1/bots`,
headers: {
" X-API-KEY": `${this.hansei.$auth.api_key}`,
},
})
},
})
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);
},
});