ChatFly assists businesses in creating, testing, launching, and managing. AI Chatbots for various use cases or channels - at scale.
Emit new event when a new column is added to a table. See the documentation
Emit new event when a row is added or modified. See the documentation
Emit new event when a new row is added to a table. See the documentation
Emit new event when new rows are returned from a custom query that you provide. See the documentation
Emit new event when a new table is added to the database. See the documentation
Dispatches a text message to a specified group or individual in Chatfly.
Finds a row in a table via a custom query. See the documentation
The ChatFly API allows developers to integrate chat functionalities into their applications, making it easier to build custom chat solutions or enhance existing communication systems. On Pipedream, leveraging the ChatFly API can automate interactions, analyze chat data, or sync with other services to create a more dynamic user experience.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
chatfly: {
type: "app",
app: "chatfly",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://backend.chatfly.co/api/bot`,
headers: {
"CHATFLY-API-KEY": `${this.chatfly.$auth.api_key}`,
},
})
},
})
On Pipedream, you can leverage the PostgreSQL app to create workflows that automate database operations, synchronize data across platforms, and react to database events in real-time. Think handling new row entries, updating records from webhooks, or even compiling reports on a set schedule. Pipedream's serverless platform provides a powerful way to connect PostgreSQL with a variety of apps, enabling you to create tailored automation that fits your specific needs.
import postgresql from "@pipedream/postgresql"
export default defineComponent({
props: {
postgresql,
},
async run({ steps, $ }) {
// Component source code:
// https://github.com/PipedreamHQ/pipedream/tree/master/components/postgresql
const queryObj = {
text: "SELECT NOW()",
values: [], // Ignored since query does not contain placeholders
};
return await this.postgresql.executeQuery(queryObj);
},
})