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.
Creates videos in bulk by passing tags and values. Requires a project 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}`,
},
})
},
})
Gan.AI is a dynamic API that leverages the power of generative adversarial networks (GANs) to create synthetic datasets, simulate user behaviors, and generate realistic images or text. With Gan.AI, developers can enhance their applications by integrating AI-generated content that improves user engagement and simulates various scenarios for testing or training models. Using Pipedream, you can automate workflows involving Gan.AI to process data, trigger AI-based actions, and connect outputs to other apps for extended functionality.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
gan_ai: {
type: "app",
app: "gan_ai",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.gan.ai/projects/v2`,
headers: {
Authorization: `Bearer ${this.gan_ai.$auth.oauth_access_token}`,
},
})
},
})