Qualetics AI Management System (AIMS) offers basic to advanced AI capabilities that embed and integrate into your products & systems.
Initiates a previously designed data machine within Qualetics, executing the specific analytical tasks it was built for. See the documentation
Write custom Node.js code and use any of the 400k+ npm packages available. Refer to the Pipedream Node docs to learn more.
The Qualetics API provides data intelligence as a service, allowing you to transform your data into actionable insights. With this API, you can perform advanced data analysis, predict trends, and generate reports to make informed decisions swiftly. On Pipedream, Qualetics can be integrated into workflows to automate data analysis, connect with other services for enriched data operations, and trigger actions based on the insights derived.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
qualetics: {
type: "app",
app: "qualetics",
}
},
async run({steps, $}) {
const data = {"actor":{"type":"User","id":"js1234"},"action":{"type":"ButtonClick"},"context":{"type":"Button","name":"Button1"}};//"{{your_data}}";
//E.g. {"actor":{"type":"User","id":"js1234"},"action":{"type":"ButtonClick"},"context":{"type":"Button","name":"Button1"}}
return await axios($, {
method: "post",
url: `https://mq.qualetics.com/api/sendmessage?client_id=${this.qualetics.$auth.app_prefix}`,
headers: {
Authorization: `Bearer ${this.qualetics.$auth.oauth_access_token}`,
},
data,
})
},
})
Develop, run and deploy your Node.js code in Pipedream workflows, using it between no-code steps, with connected accounts, or integrate Data Stores and File Stores.
This includes installing NPM packages, within your code without having to manage a package.json
file or running npm install
.
Below is an example of installing the axios
package in a Pipedream Node.js code step. Pipedream imports the axios
package, performs the API request, and shares the response with subsequent workflow steps:
// To use previous step data, pass the `steps` object to the run() function
export default defineComponent({
async run({ steps, $ }) {
// Return data to use it in future steps
return steps.trigger.event
},
})