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.
Cancel a specific prediction identified by Id. See the documentation
Get a specific prediction identified by Id. 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 Replicate API allows you to access a wide array of machine learning models for tasks such as image generation, text-to-image, and more. Using Pipedream, you can orchestrate these models to automate content creation, analyze media, or enhance data with AI-generated insights. Pipedream's serverless platform empowers you to create workflows that react to events, schedule tasks, and integrate with numerous other services, all harnessing the power of Replicate's AI models.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
replicate: {
type: "app",
app: "replicate",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.replicate.com/v1/predictions`,
headers: {
"Authorization": `Token ${this.replicate.$auth.api_key}`,
},
})
},
})