What do you want to automate
with Kontent.ai and Rockset?
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Popular Ways to Connect Kontent.ai with Rockset#
Popular Kontent.ai and Rockset Triggers#
Emit new event when a content item is created.
Emit new event when a content item is deleted.
Emit new event when a content item is moved to another workflow step.
Emit new event when a content item is published.
Emit new event when a content item is retored in a specific language after deletion.
Popular Kontent.ai and Rockset Actions#
Create a new content item based on a specific content type. See the documentation
Add documents to a collection in Rockset. Learn more at https://docs.rockset.com/rest/#adddocuments
Create a new integration with Rockset. Learn more at https://docs.rockset.com/rest/#createintegration
Overview of Kontent.ai#
The Kontent.ai API offers robust content management capabilities for developers to manage and deliver content across various platforms. With this API, you can automate content creation, update content items, retrieve assets, and sync your content with other services. On Pipedream, you can harness these features to create powerful workflows that trigger on specific events, process data, and connect with other apps to streamline your content operations.
Connect Kontent.ai#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
kontent_ai: {
type: "app",
app: "kontent_ai",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://manage.kontent.ai/v2/projects/${this.kontent_ai.$auth.environment}/items`,
headers: {
Authorization: `Bearer ${this.kontent_ai.$auth.management_api_key}`,
"Content-Type": `application/json`,
},
})
},
})
Overview of Rockset#
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.
Connect Rockset#
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}`,
},
})
},
})
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