Integration platform for developers
Exposes an HTTP API for scheduling messages to be emitted at a future time
Emit new event based on a time interval before an upcoming event in the calendar. This source uses Pipedream's Task Scheduler. See the documentation for more information and instructions for connecting your Pipedream account.
Emit new event at a specified time before a card is due.
Emit new event when a Calendar event is upcoming, this source is using reminderMinutesBeforeStart
property of the event to determine the time it should emit.
Locates a specific user meeting by its unique ID. See the documentation
Retrieves the most recent meeting for a user. See the documentation
Creates and stores a new meeting in Fireflies, allowing it to be transcribed and shared. See the documentation
Pipedream is an API that allows you to build applications that can connect to
various data sources and processes them in real-time. You can use Pipedream to
create applications that can perform ETL (Extract, Transform, and Load) tasks,
as well as to create data-driven workflows.
Some examples of applications you can build using the Pipedream API include:
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
pipedream: {
type: "app",
app: "pipedream",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.pipedream.com/v1/users/me`,
headers: {
Authorization: `Bearer ${this.pipedream.$auth.api_key}`,
},
})
},
})
The Fireflies API allows you to harness the power of AI to record, transcribe, and search across your voice conversations. With Pipedream, you can create automated workflows that leverage these capabilities to streamline communication, enhance collaboration, and ensure important insights from meetings are captured and actionable. By integrating with other apps, you can trigger actions, sync data, and build an array of powerful automations around your Fireflies data.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
fireflies: {
type: "app",
app: "fireflies",
}
},
async run({steps, $}) {
const data = {
"query": `{ user { user_id email } }`,
}
return await axios($, {
method: "POST",
url: `https://api.fireflies.ai/graphql`,
headers: {
Authorization: `Bearer ${this.fireflies.$auth.api_key}`,
},
data,
})
},
})