---
title: "Create an Endpoint"
url: https://docs.catalyst.zoho.com/en/tutorials/movie-recommendation/create-endpoint/
description: "Create a powerful ML pipeline that analyzed historic Movie data and gives meaningful recommendation using the Catalyst QuickML components."
last_updated: 2026-09-29T06:01:01Z
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](https://docs.catalyst.zoho.com/en/quickml/help/pipeline-endpoints/) for our Movie Recommendation model to allow external applications to interact with the model seamlessly and get recommendations.

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

2. Name the endpoint **Movie Recommendation**, select the endpoint type as **ML Model**, choose the model as **Movie Recommendation model**, and click `Create Endpoint`.
![movie-recommendation-2.webp](https://catalyst-docs-development.zohostratus.in/images/tutorials/movie-recommendation/movie-recommendation-2.webp)

3. On the endpoint's details page, you can test the model by providing a sample request and clicking Get Result. For the request, you can provide the model with a user’s demographic and identifying details, and it will respond with the movie IDs it predicts that the user is most likely to enjoy, sorted in recommendation order.
![predict](https://catalyst-docs-development.zohostratus.in/images/tutorials/movie-recommendation/endpoint-creation-details.webp)

4. Click `Publish` on the top right corner of the page and use the endpoint URL to integrate the ML model with any other applications.
![publish](https://catalyst-docs-development.zohostratus.in/images/tutorials/movie-recommendation/publish.webp)

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