with Google Tag Manager and Google Vertex AI?
Examines an image or video following given instructions. Results will contain the analysis findings. See the documentation
Analyzes a specified text for its underlying sentiment. See the documentation
The Google Tag Manager API allows you to manage your tags, triggers, variables, and related configurations programmatically. Through Pipedream, you can integrate these API capabilities into serverless workflows to automate complex tagging tasks, sync configurations across environments, and streamline marketing or analytics operations. Pipedream's platform facilitates the creation of custom automations with Google Tag Manager, helping you deploy tags faster, manage user permissions, and control versions of your tag configurations.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
google_tag_manager: {
type: "app",
app: "google_tag_manager",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://www.googleapis.com/tagmanager/v2/accounts`,
headers: {
Authorization: `Bearer ${this.google_tag_manager.$auth.oauth_access_token}`,
},
})
},
})
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}`,
},
})
},
})