with Relevance AI and Postman?
Emit new event when a monitor run is completed. 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.
Updates a specific environment variable in Postman. See the documentation
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 Postman API enables you to automate tasks within your Postman collections, such as running collections, fetching and updating environments, and integrating your API development workflow into your CI/CD pipeline. Using Pipedream, you can harness this functionality to create custom workflows that trigger on various events, process data, and connect with other apps, extending the capabilities of your API testing and development processes.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
postman: {
type: "app",
app: "postman",
}
},
async run({steps, $}) {
const data = {
"auth_token": `=user:NNNNNN`,
}
return await axios($, {
url: `https://api.getpostman.com/me`,
headers: {
"X-Api-Key": `${this.postman.$auth.api_key}`,
},
data,
})
},
})