Mock sample for your project: Recommender API

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.

Manage, store, and access healthcare data in Google Cloud Platform.

Cloud Talent Solution provides the capability to create, read, update, and delete job postings, as well as search jobs based on keywords and filters.

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

The Groups Migration API allows domain administrators to archive emails into Google groups.

Programmatically creates and manages Firebase Dynamic Links.

Service to parse structured information from unstructured or semi-structured documents using state-of-the-art Google AI such as natural language, computer vision, translation, and AutoML.

Accesses the NoSQL document database built for automatic scaling, high performance, and ease of application development.

The Cloud Storage for Firebase API enables programmatic management of Cloud Storage buckets for use in Firebase projects

A service to scan container images for vulnerabilities.

Manages Hadoop-based clusters and jobs on Google Cloud Platform.

Builds conversational interfaces (for example, chatbots, and voice-powered apps and devices).

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.

An API for managing Drive Labels

Google Cloud Memorystore for Memcached API is used for creating and managing Memcached instances in GCP.

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.

OS management tools that can be used for patch management, patch compliance, and configuration management on VM instances.

Writes log entries and manages your Cloud Logging configuration.

Provides access to information about profiles and contacts.

Deploy and manage user provided container images that scale automatically based on incoming requests. The Cloud Run Admin API v1 follows the Knative Serving API specification, while v2 is aligned with Google Cloud AIP-based API standards, as described in https://google.aip.dev/.

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