Mock sample for your project: Recommender API

Enables services that service consumers want to use on Google Cloud Platform, lists the available or enabled services, or disables services that service consumers no longer use.

Notebooks API is used to manage notebook resources in Google Cloud.

The Dataproc Metastore API is used to manage the lifecycle and configuration of metastore services.

Lets you store and retrieve potentially-large, immutable data objects.

Note that we now highly recommend new customers to use Retail API, which incorporates the GA version of the Recommendations AI funtionalities. To enable Retail API, please visit https://console.cloud.google.com/apis/library/retail.googleapis.com. The Recommendations AI service enables customers to build end-to-end personalized recommendation systems without requiring a high level of expertise in machine learning, recommendation system, or Google Cloud.

Reads and writes Google Sheets.

Converts audio to text by applying powerful neural network models.

The Chrome UX Report API lets you view real user experience data for millions of websites.

API to publish and access results from developer tools.

An API for controlling access to data by Google personnel.

Provides access to information about profiles and contacts.

The Postmaster Tools API is a RESTful API that provides programmatic access to email traffic metrics (like spam reports, delivery errors etc) otherwise available through the Gmail Postmaster Tools UI currently.

Provides a historical view of activity.

Accesses Analytics report data.

Firebase App Check works alongside other Firebase services to help protect your backend resources from abuse, such as billing fraud or phishing.

Manages files in Drive including uploading, downloading, searching, detecting changes, and updating sharing permissions.

Views and manages your Google Analytics data.

FCM send API that provides a cross-platform messaging solution to reliably deliver messages at no cost.

Policy Simulator is a collection of endpoints for creating, running, and viewing a Replay. A Replay is a type of simulation that lets you see how your members' access to resources might change if you changed your IAM policy. During a Replay, Policy Simulator re-evaluates, or replays, past access attempts under both the current policy and your proposed policy, and compares those results to determine how your members' access might change under the proposed policy.

Train high-quality custom machine learning models with minimum effort and machine learning expertise.

Allows users to manage BigQuery connections to external data sources.

Manage your product listings and accounts for Google Shopping