with PandaDoc and Google Vertex AI?
Emit new event when a document failed to be created. See the documentation here
Emit new event when a document is deleted. See the documentation here
Emit new event when a document's state is changed. See the documentation here
Emit new event when a document is updated. See the documentation here
Emit new event when a recipient completes a document. See the documentation here
Adds an attachment to a document. See the documentation here
Examines an image or video following given instructions. Results will contain the analysis findings. See the documentation
Create a document from a file or public file URL. See the documentation here
Analyzes a specified text for its underlying sentiment. See the documentation
Create a Document from a PandaDoc Template. See the documentation here
The PandaDoc API opens up a realm of possibilities for automating document workflows, creating a seamless bridge between document management and various business processes. With it, you can programmatically create, send, and track documents, streamline electronic signatures, and manage templates, among others. Integrations through Pipedream can harness these capabilities, enabling you to trigger actions in PandaDoc based on events from other apps, or vice versa.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
pandadoc: {
type: "app",
app: "pandadoc",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.pandadoc.com/public/v1/members/current/`,
headers: {
Authorization: `Bearer ${this.pandadoc.$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}`,
},
})
},
})