AI made easy for Developers | The best AI engines in one API
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
Analyzes sentiment in the provided text. See the documentation
Detects AI content in the provided text. See the documentation
Generates an audio from the provided text. See the documentation
Eden AI provides a simple API for integrating a variety of AI services from different providers. On Pipedream, you can leverage Eden AI to automate tasks that involve natural language processing, computer vision, and other AI capabilities. By connecting Eden AI with other apps, you can create powerful workflows for data enrichment, content moderation, or sentiment analysis without extensive AI expertise.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
eden_ai: {
type: "app",
app: "eden_ai",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.edenai.run/v2/ocr/custom_document_parsing_async`,
headers: {
Authorization: `Bearer ${this.eden_ai.$auth.api_key}`,
"Accept": `application/json`,
"Content-Type": `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);
},
});