The AI and data platform that’s built for business-
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 WatsonX AI API offers a robust suite of AI capabilities from IBM, designed to integrate advanced machine learning and cognitive computing into various applications. With these APIs, you can enhance your apps with AI-driven features such as language understanding, speech to text conversion, and visual recognition. Using Pipedream, these capabilities can be seamlessly integrated into automated workflows, allowing you to connect WatsonX AI with other services and automate complex tasks efficiently.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
watsonx_ai: {
type: "app",
app: "watsonx_ai",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://${this.watsonx_ai.$auth.region}.ml.cloud.ibm.com/ml/v4/deployments`,
headers: {
Authorization: `Bearer ${this.watsonx_ai.$auth.oauth_access_token}`,
},
params: {
version: `2023-07-07`,
},
})
},
})
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);
},
});