Microsoft Teams has communities, events, chats, channels, meetings, storage, tasks, and calendars in one place.
Emit new event when a new message is posted in a channel
Emit new event when a new message is received in a chat
Emit new event when a new team is joined by the authenticated user
Create a new channel in Microsoft Teams. See the docs here
Receives a text and returns a JSON object containing a list of analyzed sentences. See the docs here
Receives two texts and returns a JSON object containing the text similarity score. See the docs here
Get the list of shift instances for a team. See the documentation
The Microsoft Teams API on Pipedream allows you to automate tasks, streamline communication, and integrate with other services to enhance the functionality of Teams as a collaboration hub. With this API, you can send messages to channels, orchestrate complex workflows based on Teams events, and manage Teams' settings programmatically.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
microsoft_teams: {
type: "app",
app: "microsoft_teams",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://graph.microsoft.com/v1.0/me`,
headers: {
Authorization: `Bearer ${this.microsoft_teams.$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,
})
},
})