Mock sample for your project: Essential Contacts API

The Runtime Configurator allows you to dynamically configure and expose variables through Google Cloud Platform. In addition, you can also set Watchers and Waiters that will watch for changes to your data and return based on certain conditions.

Creates and manages rules that determine when a Firebase Rules-enabled service should permit a request.

Views Abusive Experience Report data, and gets a list of sites that have a significant number of abusive experiences.

Access custom machine learning models hosted via Firebase ML.

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.

Cloud Life Sciences is a suite of services and tools for managing, processing, and transforming life sciences data.

Manages alerts on issues affecting your domain. Note: The current version of this API (v1beta1) is available to all Google Workspace customers.

Manages permission levels and related settings of a group.

The Firebase Hosting REST API enables programmatic and customizable management and deployments to your Firebase-hosted sites. Use this REST API to create and manage channels and sites as well as to deploy new or updated hosting configurations and content files.

Manages Google Cloud technical support cases for Customer Care support offerings.

Interacts with Glass users via the timeline.

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

The My Business Verifications API provides an interface for taking verifications related actions for locations.

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

An implementation of the Grafeas API, which stores, and enables querying and retrieval of critical metadata about all of your software artifacts.

The cloud asset API manages the history and inventory of cloud resources.

Supplies a Remote Execution API service for tools such as bazel.

A data platform for customers to create, manage, share and query data.

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.

Schedule queries or transfer external data from SaaS applications to Google BigQuery on a regular basis.

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

Stores sensitive data such as API keys, passwords, and certificates. Provides convenience while improving security.

Accesses the latest features for managing Authorized Buyers accounts, Real-Time Bidding configurations and auction metrics, and Marketplace programmatic deals.

Manipulates events and other calendar data.