Send marketing and transactional email through the Twilio SendGrid platform with the Email API, proprietary mail transfer agent, and infrastructure for scalable delivery.
Allows you to add one or more email addresses to the global suppressions group. See the docs here
Create a chat session for a chatbot specified by chatbot UUID. See the documentation
Creates a new chatbot that belongs to the authenticated user. See the documentation
Allows you to create a new contact list. See the docs here
The Twilio SendGrid API opens up a world of possibilities for email automation, enabling you to send emails efficiently and track their performance. With this API, you can programmatically create and send personalized email campaigns, manage contacts, and parse inbound emails for data extraction. When you harness the power of Pipedream, you can connect SendGrid to hundreds of other apps to automate workflows, such as triggering email notifications based on specific actions, syncing email stats with your analytics, or handling incoming emails to create tasks or tickets.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
sendgrid: {
type: "app",
app: "sendgrid",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.sendgrid.com/v3/user/account`,
headers: {
Authorization: `Bearer ${this.sendgrid.$auth.api_key}`,
},
})
},
})
The gpt-trainer API is a tool designed to train, run, and manage custom GPT-2 and GPT-3 models. It provides endpoints for submitting training data, starting the training process, and generating text from the trained model. With Pipedream's serverless integration platform, you can automate workflows that interact with the gpt-trainer API. You can trigger workflows using webhooks, schedule them, or even run them in response to events from other apps. Integrate the gpt-trainer API with other services on Pipedream to create powerful applications such as automated content creation, personalized messaging, or AI-driven data analysis.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
gpt_trainer: {
type: "app",
app: "gpt_trainer",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://app.gpt-trainer.com/api/v1/chatbots`,
headers: {
Authorization: `Bearer ${this.gpt_trainer.$auth.api_key}`,
},
})
},
})