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.
Calculates an output based on your created flow in Flowise. 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 FlowiseAI API offers powerful AI-driven capabilities to enhance data with smart predictions and insights. In Pipedream, you can leverage this API to automate tasks, analyze large sets of data, and build intelligent workflows that respond to the AI's output. FlowiseAI can pair with various apps on Pipedream to enrich CRM data, optimize marketing campaigns, or streamline customer support processes.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
flowiseai: {
type: "app",
app: "flowiseai",
}
},
async run({steps, $}) {
return await axios($, {
method: "POST",
url: `https://pipedreamtest.onrender.com/api/v1/prediction/{{your_chatflow_id}}`,
headers: {
Authorization: `Bearer ${this.flowiseai.$auth.api_key}`,
"Content-Type": `application/json`,
},
data: {
question: "{{your_prompt}}"
}
})
},
})