Datumbox offers an innovative Machine Learning platform specialized in Natural Language Processing.
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 Datumbox API offers a robust suite of Machine Learning services that can enrich your applications with advanced text analysis, sentiment analysis, classification, and more. Leveraging this API on Pipedream allows you to create powerful serverless workflows that connect Datumbox's capabilities with numerous other apps and services. Automate content categorization, extract insights from user feedback, or monitor social media sentiment in real-time.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
datumbox: {
type: "app",
app: "datumbox",
}
},
async run({steps, $}) {
return await axios($, {
url: `http://api.datumbox.com/1.0/SentimentAnalysis.json`,
params: {
api_key: `${this.datumbox.$auth.api_key}`,
text: `YOUR_TEXT`,
},
})
},
})
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);
},
});