Mock sample for your project: Fitness API

A simple Google Example Library API.

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

This API converts video files into formats suitable for consumer distribution.

Reads and writes Google Sheets.

Allows developers to run automated tests for their mobile applications on Google infrastructure.

Cloud Spanner is a managed, mission-critical, globally consistent and scalable relational database service.

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.

Integrates text translation into your website or application.

The Security Token Service exchanges Google or third-party credentials for a short-lived access token to Google Cloud resources.

API for Cloud SQL database instance management

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

The Google Web Fonts Developer API lets you retrieve information about web fonts served by Google.

Registers and manages IoT (Internet of Things) devices that connect to the Google Cloud Platform.

Manages classes, rosters, and invitations in Google Classroom.

Enables apps to fetch information and perform actions in Google Chat. Authentication is a prerequisite for using the Google Chat REST API.

Manipulates events and other calendar data.

Allows developers to manage billing for their Google Cloud Platform projects programmatically.

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

Cloud Search provides cloud-based search capabilities over Google Workspace data. The Cloud Search API allows indexing of non-Google Workspace data into Cloud Search.

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.

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