The best way to organize and share knowledge with your teammates.
Add or update a single record in your Pipedream Data Store.
Add or update multiple records to your Pipedream Data Store.
Append to a record in your data store Pipedream Data Store. If the record does not exist, a new record will be created in an array format.
Check if a key exists in your Pipedream Data Store or create one if it doesn't exist.
The Tettra API lets you automate your knowledge management tasks within the Tettra knowledge base. Using Pipedream, you can create workflows to streamline content creation, manage pages and categories, and sync with your team's tool stack. Pipedream’s serverless platform enables you to connect Tettra with hundreds of other apps to automate complex processes, share information across teams and systems, and trigger actions based on events in Tettra or other integrated services.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
tettra: {
type: "app",
app: "tettra",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://app.tettra.co/api/teams/${this.tettra.$auth.team_id}/search`,
headers: {
"Content-Type": `application/vnd.api+json`,
},
params: {
api_key: `${this.tettra.$auth.api_key}`,
},
})
},
})
Data Stores are a key-value store that allow you to persist state and share data across workflows. You can perform CRUD operations, enabling dynamic data management within your serverless architecture. Use it to save results from API calls, user inputs, or interim data; then read, update, or enrich this data in subsequent steps or workflows. Data Stores simplify stateful logic and cross-workflow communication, making them ideal for tracking process statuses, aggregating metrics, or serving as a simple configuration store.
export default defineComponent({
props: {
myDataStore: {
type: "data_store",
},
},
async run({ steps, $ }) {
await this.myDataStore.set("key_here","Any serializable JSON as the value")
return await this.myDataStore.get("key_here")
},
})