---
title: "Create an Endpoint"
url: https://docs.catalyst.zoho.com/en/tutorials/cancer-detection/create-endpoint/
description: "Create and configure a powerful ML pipeline that can be used to predict the chances of being affected by breast cancer using the Catalyst QuickML service."
last_updated: 2026-10-01T07:03:46Z
service: All Services
type: tutorial
related_links:
  - name: "Pipeline Endpoints"
    url: /en/quickml/help/pipeline-endpoints
---

# Create Endpoint

We will now **[create an endpoint](https://docs.catalyst.zoho.com/en/quickml/help/pipeline-endpoints/)**
for the Cancer Detection ML model to allow to interact with the model seamlessly and get predictions.

1. Navigate to the *Endpoints* component in the left panel and click **Create Endpoint**.

   ![cancer-detection-30.webp](https://catalyst-docs-development.zohostratus.in/images/tutorials/cancer-detection/cancer-detection-30.webp)

2. Enter the endpoint name as **Cancer_Detection**, select the Endpoint Type as **ML Model** , and choose the model as **Pipeline_B** model ML model that we created in the previous step, and click **Create Endpoint**.

   ![cancer-detection-31.webp](https://catalyst-docs-development.zohostratus.in/images/tutorials/cancer-detection/cancer-detection-31.webp)

3. In the *Endpoints details* page, first test the model by providing a sample request and click **Get Result**. For the below request, the model predicts the record is Cancer Malignant(M). The likelihood score is used in classification models to return the probability estimation; this value gives the model’s confidence in its predictions.

4. Click **Publish** and use the endpoint URL to integrate the ML model with any other applications.

   ![cancer-detection-32.webp](https://catalyst-docs-development.zohostratus.in/images/tutorials/cancer-detection/cancer-detection-32.webp)

   ![cancer-detection-33.webp](https://catalyst-docs-development.zohostratus.in/images/tutorials/cancer-detection/cancer-detection-33.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.