Mock sample for your project: Google Analytics Data API

Data Pipelines provides an interface for creating, updating, and managing recurring Data Analytics jobs.

Creates and manages builds on Google Cloud Platform.

Lets Android application developers access their Google Play accounts. At a high level, the expected workflow is to "insert" an Edit, make changes as necessary, and then "commit" it.

The AdSense Management API allows publishers to access their inventory and run earnings and performance reports.

Manipulates events and other calendar data.

The My Business Notification Settings API enables managing notification settings for business accounts.

Examines the call stack and variables of a running application without stopping or slowing it down.

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

The Managed Service for Microsoft Active Directory API is used for managing a highly available, hardened service running Microsoft Active Directory (AD).

Builds on top of the Google+ platform.

Interacts with Glass users via the timeline.

Retrieves the list of AMP URLs (and equivalent AMP Cache URLs) for a given list of public URL(s).

The Cloud Channel API enables Google Cloud partners to have a single unified resale platform and APIs across all of Google Cloud including GCP, Workspace, Maps and Chrome.

Synthesizes natural-sounding speech by applying powerful neural network models.

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.

Provides access to information about profiles and contacts.

Cloud Retail 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.

Creates and manages Redis instances on the Google Cloud Platform.

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.

Writes log entries and manages your Cloud Logging configuration.

Provides methods for detection, risk analysis, and de-identification of privacy-sensitive fragments in text, images, and Google Cloud Platform storage repositories.

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.