with Orca Scan and Google Vertex AI?
Emit new event when a new row is created in an Orca Scan sheet. See the documentation
Emit new event when a new sheet is created in Orca Scan. See the documentation
Adds a new row or updates an existing row in a sheet. See the documentation
Examines an image or video following given instructions. Results will contain the analysis findings. See the documentation
Locates a row record based on a given barcode. If no barcode is provided, return all rows. 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 Orca Scan API is a gateway to integrate barcode scanning and inventory management capabilities into various workflows. By leveraging the API, you can automate data collection, streamline inventory tracking, and sync your barcode scanning data with other systems. When used on Pipedream, you can merge Orca Scan functionalities with countless other apps, creating custom automation rules, processing data, and managing inventory in real-time. Ideal for inventory management, asset tracking, and data collection automation, the Orca Scan API is a tool that can adapt to a myriad of business needs.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
orca_scan: {
type: "app",
app: "orca_scan",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.orcascan.com/v1/sheets`,
headers: {
Authorization: `Bearer ${this.orca_scan.$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}`,
},
})
},
})