---
sourceDocument: Australia ServiceNow AI Platform Capabilities
sourceDocumentLink: https://servicenow-prod.fluidtopics.net/r/de-DE/servicenow-platform

 Release :

    - australia

ft:locale :

    - de-DE

ft:publication_title :

    - Australia ServiceNow AI Platform Capabilities

ft:clusterId :

    - platcap

bundleId :

    - platcap

workflow :

    - Platform


---

# View

# Viewing API clustering recommendations in API Insights {#ariaid-title1}

* Freigeben Version: Australia
* 
* Aktualisiert 12. März 2026
* 
* ![](https://www.servicenow.com/docs/portal-asset/ico-clock) 1 Minute Lesedauer

Use machine learning-based suggestions to group related API components, improving the organization and mapping of APIs within the system.

The Proposed API clustering tab of the Data recommendations page in the API Insights workspace provides machine learning-generated recommendations for API clustering.
Abbildung : 1. Proposed API clustering tab

## Accessing the Proposed API clustering tab {#api-insights-view-cluster-recomm__section_a44_g5q_mcc}

To access the Proposed API clustering tab, navigate to WorkspacesAPI Insights. On the Overview tab, select the count metric in the API clustering recommendations section. The Proposed API clustering tab is displayed on the Data recommendations
page.

You need the following roles to access the API clustering recommendations section: sn_cmdb_admin, ml_report_user, and platform_ml_read.

## Viewing data {#api-insights-view-cluster-recomm__section_oky_dqy_mcc}

By default, the page displays the following data:

Cluster Concept
:   Displays the API components that the machine learning model has grouped together based on similarities. These concepts represent the core idea or functionality that defines each cluster.

Cluster size
:   Indicates the total number of components within the cluster. A larger size suggests that many components are related and grouped together under the same API concept.

Cluster Quality
:   Reflects the confidence or strength of the relationship between components in the cluster, measured on a scale from `0` to `100`. A higher quality value implies stronger relationships among the
    API components within the cluster.

Updated
:   Displays the most recent timestamp when the cluster was updated, enabling tracking the recency of the machine learning recommendations and any changes to the clusters.