Create high-quality SEO-optimized articles in minutes. KoalaWriter, powered by GPT-4, combines SERP analysis with real-time data to create content that ranks.
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 Koala AI API enables intelligent analysis of text and conversation data, offering insights and automation capabilities. With Koala AI API on Pipedream, you can craft serverless workflows that respond to data in real-time. Use it to analyze sentiment, categorize content, extract entities, and more. Build workflows that trigger on new data, process it through Koala AI, and act on the insights gained, like updating a database, sending notifications, or enriching CRM information.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
koala_ai: {
type: "app",
app: "koala_ai",
}
},
async run({steps, $}) {
const data = {
"targetKeyword": `What is Pipedream?`,
"gptVersion": `gpt-3.5`,
}
return await axios($, {
method: "post",
url: `https://koala.sh/api/articles/`,
headers: {
Authorization: `Bearer ${this.koala_ai.$auth.api_key}`,
"Content-Type": `application/json`,
},
data,
})
},
})
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);
},
});