---
title: "Create an Endpoint"
url: https://docs.catalyst.zoho.com/en/tutorials/car-price-prediction/create-endpoint/
description: "car price predictionCreate a powerful ML pipeline that can be used to predict the car price using the Catalyst QuickML service."
last_updated: 2026-08-17T12:16:04Z
service: All Services
type: tutorial
related_links:
  - name: "Pipeline Endpoints"
    url: /en/quickml/help/pipeline-endpoints
---

# Create an endpoint

We will now create an endpoint for the above Deal Prediction model to allow external applications to interact with the model seamlessly and get predictions.

1. Navigate to the **Endpoints** component in the left menu and click `Create Endpoint`.
![endpoints](https://catalyst-docs-development.zohostratus.in/images/tutorials/car-price-prediction/endpoints.webp)

2. Name the endpoint as "**Car Price Prediction**", choose the model as **Car Price Model model**, the ML model that we created in the previous step, and click `Create Endpoint`.
![endpoint-name](https://catalyst-docs-development.zohostratus.in/images/tutorials/car-price-prediction/endpoint-name.webp)

3. On the endpoint's details page, you can test the model by providing a sample request in the Request column and click `Predict`. This will generate the predicted value in the Response column.
![predict](https://catalyst-docs-development.zohostratus.in/images/tutorials/car-price-prediction/predict.webp)

4. Click `Publish` and use the endpoint URL to integrate the ML model with any other applications.
![publish](https://catalyst-docs-development.zohostratus.in/images/tutorials/car-price-prediction/publish.webp)

> **Note :** You can also check out [this document](https://docs.catalyst.zoho.com/en/quickml/help/pipeline-endpoints/#external-oauth2-authentication) to implement pipeline authentication to ensure secured access to endpoints, the ML models, and datasets.