with Linear (API key) and Winston AI?
Triggers instantly when a new issue is created in Linear. Provides complete issue details including title, description, team, assignee, state, and timestamps. Supports filtering by team and project. See Linear docs for additional info here
Triggers instantly when a project update (status report) is created in Linear. Returns update content, author, project details, and health status. Filters by team and optionally by project. See Linear docs for additional info here
Investigates whether AI-generated content is present within the given text. See the documentation
Inspects if the submitted text contains plagiarised materials. See the documentation
Linear helps streamline software project management, bug tracking, and task coordination. By using the Linear (API key) API with Pipedream, you can automate routine tasks, sync issues across platforms, and trigger custom workflows. Think auto-assignment of tasks based on specific triggers or pushing updates to a Slack channel when an issue's status changes. These automations save time and ensure that your development team stays focused on coding rather than on administrative overhead.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
linear_app: {
type: "app",
app: "linear_app",
}
},
async run({steps, $}) {
const data = {
"query": `{
user(id: "me") {
id
email
name
}
}`,
}
return await axios($, {
method: "post",
url: `https://api.linear.app/graphql`,
headers: {
"Authorization": `${this.linear_app.$auth.api_key}`,
"Content-Type": `application/json`,
},
data,
})
},
})
The Winston AI API offers robust content detection, enabling developers to analyze text for various purposes such as sentiment analysis, spam detection, and more. Within Pipedream, you can harness this API to build serverless workflows that react to content, integrate with numerous other apps, and automate responses or actions based on the API's insights. You might craft workflows that filter user-generated content, trigger alerts on negative sentiments, or enhance data collection with AI-driven context.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
winston_ai: {
type: "app",
app: "winston_ai",
}
},
async run({steps, $}) {
const data = {
"sentences": true,
"text": "In the heart of an ancient forest, where sunlight filters through a canopy of emerald leaves, a small, crystal-clear stream winds its way over smooth pebbles and under fallen logs, murmuring softly as it goes. This serene haven, untouched by the hustle and bustle of modern life, is a testament to nature's enduring beauty and tranquility, offering solace to those who seek its quiet embrace and reminding us of the simple, yet profound joys that lie in the natural world around us.",
"version": "3.0"
}
return await axios($, {
method: "post",
url: `https://api.gowinston.ai/functions/v1/predict`,
headers: {
Authorization: `Bearer ${this.winston_ai.$auth.api_token}`,
},
data,
})
},
})