with Loop Returns and Google Vertex AI?
Emit new event when a label is updated. See the documentation
Emit new event when a new return is created. See the documentation
Emit new event when the status of a return has been updated. See the documentation
Cancels a pending return request in Loop. See the documentation
Examines an image or video following given instructions. Results will contain the analysis findings. See the documentation
Flags a particular return as important inside Loop. Requires return ID as a mandatory prop. See the documentation
Analyzes a specified text for its underlying sentiment. See the documentation
Groups a provided text into predefined categories. See the documentation
The Loop Returns API enables merchants to automate and streamline their returns and exchanges process. It offers endpoints that allow you to initiate returns, update return states, and manage return-related data, all programmable to fit into your existing e-commerce and customer service workflows. With Pipedream, you can trigger workflows based on events in Loop, or use actions to call the Loop API directly, automating tasks like syncing return data with customer service platforms, updating inventory management systems, or even issuing refunds.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
loop_returns: {
type: "app",
app: "loop_returns",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.loopreturns.com/api/v1/allowlists`,
headers: {
"accept": `application/json`,
"X-Authorization": `${this.loop_returns.$auth.api_key}`,
},
})
},
})
With the Google Vertex AI API, you can tap into a robust suite of AI tools offered by Google Cloud to build, deploy, and scale machine learning models. Whether you're processing data, training custom models, or using pre-trained ones, Vertex AI provides a unified platform for AI development. In Pipedream, you can create serverless workflows that interact with Vertex AI, allowing you to automate tasks like model training, prediction, and resource management without provisioning your own infrastructure.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
google_vertex_ai: {
type: "app",
app: "google_vertex_ai",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://www.googleapis.com/oauth2/v1/userinfo`,
headers: {
Authorization: `Bearer ${this.google_vertex_ai.$auth.oauth_access_token}`,
},
})
},
})