with Microsoft Power BI and Relevance AI?
Emits a new event when a dataset refresh operation has completed. See the documentation
Emits an event when a dataset refresh operation has failed in Power BI. See the documentation
Emit new event when a new dataset refresh operation is created. See the documentation
Adds new data rows to the specified table within the specified dataset from My workspace. See the documentation
Executes a specific tool within Relevance AI and waits for a response for up to 60 seconds. See the documentation
Cancels a refresh operation for a specified dataset in Power BI. See the documentation
Sends a message directly to an agent in Relevance AI. This action doesn't wait for an agent response.
Creates a new Push Dataset in Power BI. See the documentation
The Microsoft Power BI API allows you to interact with your Power BI assets programmatically. With this API, you can embed your reports and dashboards into applications, manage Power BI datasets, push data into datasets for real-time dashboard updates, and automate your reporting workflows. On Pipedream, you can use this API to create intricate workflows that react to various triggers, like webhooks or schedules, and perform actions like refreshing datasets, posting to datasets, and managing Power BI assets.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
microsoft_power_bi: {
type: "app",
app: "microsoft_power_bi",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.powerbi.com/v1.0/myorg/availableFeatures`,
headers: {
Authorization: `Bearer ${this.microsoft_power_bi.$auth.oauth_access_token}`,
},
})
},
})
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}`,
},
})
},
})