Mock sample for your project: Cloud Monitoring API

The Business Profile Performance API allows merchants to fetch performance reports about their business profile on Google.

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

An API to enable creating and using machine learning models.

Perform common functions that are available on the Channel Services console at scale, like placing orders and viewing customer information

Retrieves your YouTube Analytics data.

Security Command Center API provides access to temporal views of assets and findings within an organization.

Writes log entries and manages your Cloud Logging configuration.

Detects objects, explicit content, and scene changes in videos. It also specifies the region for annotation and transcribes speech to text. Supports both asynchronous API and streaming API.

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.

The AdMob API allows publishers to programmatically get information about their AdMob account.

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.

Security Command Center API provides access to temporal views of assets and findings within an organization.

Allows external bidders to manage their RTB integration with Google. This includes managing bidder endpoints, QPS quotas, configuring what ad inventory to receive via pretargeting, submitting creatives for verification, and accessing creative metadata such as approval status.

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.

Allow select enterprise partners to access, control, and manage Google and Nest devices programmatically.

Enables users to create and manage connections to Google Cloud services and third-party business applications using the Connectors interface.

Administer your Cloud Bigtable tables and instances.

Automates Android zero-touch enrollment for device resellers, customers, and EMMs.