with Endorsal and Google Vertex AI?
Creates a new contact for requesting testimonials. See the documentation
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
Retrieves a list of testimonials received. See the documentation
The Endorsal API provides a way to programmatically manage and showcase customer testimonials. With Pipedream, you can automate the collection and display of endorsements, sync these testimonials with other marketing tools, and trigger actions based on new reviews. This seamless integration enables you to leverage customer feedback effectively to boost your brand's credibility and visibility.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
endorsal: {
type: "app",
app: "endorsal",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.endorsal.io/v1/testimonials`,
headers: {
Authorization: `Bearer ${this.endorsal.$auth.api_key}`,
"Content-Type": `application/json`,
},
})
},
})
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}`,
},
})
},
})