Rockset is a serverless search and analytics engine that allows you to create live dashboards and real-time data APIs on DynamoDB, Kafka, S3 and more.
Emit new event when a new message is posted to one or more channels
Emit new event when a message was posted in a direct message channel
Emit new events on new Slack interactivity events sourced from Block Kit interactive elements, Slash commands, or Shortcuts.
Emit new event when a username or specific keyword is mentioned in a channel
Add documents to a collection in Rockset. Learn more at https://docs.rockset.com/rest/#adddocuments.
Send a message to a public channel and customize the name and avatar of the bot that posts the message. See postMessage or scheduleMessage docs here
Create a new integration with Rockset. Learn more at https://docs.rockset.com/rest/#createintegration
Send a message to a private channel and customize the name and avatar of the bot that posts the message. See postMessage or scheduleMessage docs here
Rockset is a real-time indexing database service designed for low-latency, high-concurrency analytics. With the Rockset API, you can query your datasets, create and manage collections, and integrate with event streams for real-time analytics. Using Pipedream's serverless platform, you can automate workflows that react to database events, sync data across services, or trigger actions based on analytical insights.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
rockset: {
type: "app",
app: "rockset",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.rs2.usw2.rockset.com/v1/orgs/self/users/self`,
headers: {
"Authorization": `ApiKey ${this.rockset.$auth.apikey}`,
},
})
},
})
The Pipedream Slack app enables you to build event-driven workflows that interact with the Slack API. Once you authorize the Pipedream app's access to your workspace, you can use Pipedream workflows to perform common Slack actions or write your own code against the Slack API.
The Pipedream Slack app is not a typical app. You don't interact with it directly as a bot, and it doesn't add custom functionality to your workspace out of the box. It makes it easier to automate anything you'd typically use the Slack API for, using Pipedream workflows.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
slack: {
type: "app",
app: "slack",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://slack.com/api/users.profile.get`,
headers: {
Authorization: `Bearer ${this.slack.$auth.oauth_access_token}`,
},
})
},
})