with Relevance AI and Microsoft 365?
Executes a specific tool within Relevance AI and waits for a response for up to 60 seconds. See the documentation
Sends a message directly to an agent in Relevance AI. This action doesn't wait for an agent response.
Relevance AI is a powerful tool for handling complex data operations like clustering, vector search, and data visualization. On Pipedream, you can use the Relevance AI API to automate data enrichment, analysis, and integration tasks. This integration opens up possibilities for dynamic data workflows, enabling real-time data processing and insights generation across various platforms.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
relevance_ai: {
type: "app",
app: "relevance_ai",
}
},
async run({steps, $}) {
return await axios($, {
method: "post",
url: `https://api-${this.relevance_ai.$auth.region}.stack.tryrelevance.com/latest/agents/list`,
headers: {
"authorization": `${this.relevance_ai.$auth.project}:${this.relevance_ai.$auth.api_key}`,
},
})
},
})
The Microsoft 365 API taps into the productivity power of services like Outlook, OneDrive, Excel, and more. It's a treasure chest for those seeking to automate office tasks, streamline communications, and orchestrate data between applications. With Pipedream, you can create workflows that react to events in the Microsoft ecosystem, manipulate data, or automate repetitive tasks, freeing you to focus on the bigger picture.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
microsoft_365: {
type: "app",
app: "microsoft_365",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://graph.microsoft.com/v1.0/me`,
headers: {
Authorization: `Bearer ${this.microsoft_365.$auth.oauth_access_token}`,
},
})
},
})