with TMetric and DataSet?
The TMetric API provides the ability to interact programmatically with TMetric's time tracking features, allowing developers to create, read, update, and delete time entries, projects, and workspaces. By leveraging the API within Pipedream, you can connect TMetric to hundreds of other apps to automate time tracking as part of larger business processes, such as invoicing, project management, and reporting workflows.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
tmetric: {
type: "app",
app: "tmetric",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://app.tmetric.com/api/v3/user`,
headers: {
Authorization: `Bearer ${this.tmetric.$auth.api_token}`,
},
})
},
})
The DataSet API enables you to manage and analyze large datasets. With Pipedream's integration, you can automate data ingestion, transformation, and analysis, create serverless workflows that respond to data events, and connect with other apps to enrich and utilize your datasets. Utilize Pipedream's serverless platform to trigger workflows, perform actions based on DataSet events, and orchestrate complex data processes with minimal setup.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
dataset: {
type: "app",
app: "dataset",
}
},
async run({steps, $}) {
const data = {
"token": `${this.dataset.$auth.access_key}`,
}
return await axios($, {
method: "post",
url: `https://app.scalyr.com/api/listUsers`,
headers: {
"Content-Type": `application/json`,
},
data,
})
},
})