with ClickUp and Codeq Natural Language Processing API?
Creates a chat view comment. See the documentation in Comments / Create Chat View Comment section.
Receives a text and returns a JSON object containing a list of analyzed sentences. See the docs here
Creates a new checklist in a task. See the documentation in Checklists / Create Checklist section.
Receives two texts and returns a JSON object containing the text similarity score. See the docs here
Creates a new item in a checklist. See the documentation in Checklists / Create Checklist Item section.
The ClickUp API on Pipedream allows you to automate tasks, sync data across various platforms, and construct custom workflows to streamline project management. By leveraging the API, you can create tasks, update statuses, and manipulate lists or spaces programmatically. Whether you're looking to integrate ClickUp with your CRM, coordinate cross-functional teams, or just manage notifications, Pipedream's serverless platform lets you build scalable, event-driven processes with minimal fuss.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
clickup: {
type: "app",
app: "clickup",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.clickup.com/api/v2/user`,
headers: {
"content-type": `application/json`,
"Authorization": `${this.clickup.$auth.oauth_access_token}`,
},
})
},
})
The Codeq Natural Language Processing API provides powerful text analysis capabilities. It parses and understands complex structures in text, extracting meaningful insights. On Pipedream, you can harness this API to analyze text data from various sources, automate content categorization, sentiment analysis, or even construct rich profiles of user feedback. With Pipedream's serverless platform, these processes can be automated, triggered by events, and integrated with numerous other apps to create robust, data-driven workflows.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
codeq_natural_language_processing_api: {
type: "app",
app: "codeq_natural_language_processing_api",
}
},
async run({steps, $}) {
const data = {
"user_id": `${this.codeq_natural_language_processing_api.$auth.user_id}`,
"user_key": `${this.codeq_natural_language_processing_api.$auth.user_key}`,
"text": `{your_text}`,
}
return await axios($, {
method: "post",
url: `https://api.codeq.com/v1`,
headers: {
"Content-Type": `application/json`,
},
data,
})
},
})