with Timing and Relevance AI?
Generates a new time entry in Timing app. See the documentation
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.
Starts a new ongoing timer as per the current timestamp or specified start date. See the documentation
The Timing app provides detailed time tracking capabilities, enabling users to automatically log time spent on various tasks and improve productivity. Using Pipedream’s integration, one could build workflows that trigger when new time entries are created, sync time data with other project management tools, or compile reports for invoicing and accountability. It's all about harnessing the power of automated time tracking to streamline processes.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
timing: {
type: "app",
app: "timing",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://web.timingapp.com/api/v1/projects`,
headers: {
Authorization: `Bearer ${this.timing.$auth.api_key}`,
"Accept": `application/json`,
},
})
},
})
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}`,
},
})
},
})