AI platform built for analyzing open domain human-to-human conversations
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
The Symbl.ai API supercharges your applications with advanced conversation intelligence. By tapping into Symbl.ai via Pipedream, you can automate the analysis of voice, text, and video communications. Extract actionable items, follow-ups, and insights in real-time or from recorded content. This API's magic lies in its ability to provide contextually relevant insights, topic detection, sentiment analysis, and conversation metrics without extensive training data or setup time.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
symbl_ai: {
type: "app",
app: "symbl_ai",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.symbl.ai/v1/manage/trackers`,
headers: {
Authorization: `Bearer ${this.symbl_ai.$auth.oauth_access_token}`,
"Content-Type": `application/json`,
},
})
},
})
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);
},
})