The Ramp sandbox is a full-fledged environment in which you can explore different API endpoints and test your application.
Emit new event for each new transaction created in Ramp.
Emit new event when there is a change in transaction status.
Emit new event when the status of a transfer payment changes
Sends out an invite for a new user. See the documentation
Convert an object to a JSON format string
Creates a new virtual card for a given user. See the documentation
Add or subtract time from a given input
The Ramp (Sandbox) API provides programmatic access to manage corporate cards and spending in a controlled environment, ideal for testing and development. With this API on Pipedream, developers can automate financial operations, synchronize accounting data, and streamline expense management workflows. Leveraging Pipedream's capabilities, users can integrate Ramp with other services to enhance financial visibility, automate reconciliation processes, and trigger actions based on spending activities.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
ramp_sandbox: {
type: "app",
app: "ramp_sandbox",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://demo-api.ramp.com/developer/v1/business`,
headers: {
Authorization: `Bearer ${this.ramp_sandbox.$auth.oauth_access_token}`,
},
})
},
})
The Pipedream Utils app is a set of pre-built functions that streamline common tasks in your workflows. It acts like a Swiss Army knife for developers, providing essential tools such as format conversion, date manipulation, and text processing. By leveraging these functions, you can reduce the boilerplate code needed for routine operations, speeding up the development of intricate automations. The Helper Functions API can be a game changer when it comes to tasks like parsing dates in user-friendly formats, encoding and decoding data, or generating UUIDs, making them more efficient and less error-prone.
export default defineComponent({
props: {
pipedream_utils: {
type: "app",
app: "pipedream_utils",
}
},
async run({steps, $}) {
},
})