Mock sample for your project: Firebase ML API

Integrate with "Firebase ML API" from googleapis.com in no time with Mockoon's ready to use mock sample

Firebase ML API

Version: v1beta2

Use this API in your project

Open in the application

Download mock API file

📖 How to use?

Own this API? Add a Mockoon button on your website.

Integrate third-party APIs faster by using "Firebase ML API" ready-to-use mock sample. Mocking this API will help you accelerate your development lifecycles and improves your integration tests' quality and reliability by accounting for random failures, slow response time, etc.
It also helps reduce your dependency on third-party APIs: no more accounts to create, API keys to provision, accesses to configure, unplanned downtime, etc.

Description

Access custom machine learning models hosted via Firebase ML.

Other APIs by googleapis.com

Cloud Runtime Configuration 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.

Cloud Shell API

Allows users to start, configure, and connect to interactive shell sessions running in the cloud.

Abusive Experience Report API

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

Google Docs API

Reads and writes Google Docs documents.

Certificate Manager API

Analytics Reporting API

Accesses Analytics report data.

BigQuery Data Transfer API

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

Playable Locations API

Eventarc API

Build event-driven applications on Google Cloud Platform.

Firebase Dynamic Links API

Programmatically creates and manages Firebase Dynamic Links.

Cloud Life Sciences API

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

Cloud Memorystore for Memcached API

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

Other APIs in the same category

Cloud Tool Results API

API to publish and access results from developer tools.

Google Docs API

Reads and writes Google Docs documents.

BigQuery API

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

Bare Metal Solution API

Provides ways to manage Bare Metal Solution hardware installed in a regional extension located near a Google Cloud data center.

API Keys API

Manages the API keys associated with developer projects.

Access Context Manager API

An API for setting attribute based access control to requests to GCP services.

BigQuery Data Transfer API

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

Google Civic Information API

Provides polling places, early vote locations, contest data, election officials, and government representatives for U.S. residential addresses.

Cloud Billing Budget API

The Cloud Billing Budget API stores Cloud Billing budgets, which define a budget plan and the rules to execute as spend is tracked against that plan.

Stackdriver Profiler API

Manages continuous profiling information.

Cloud Debugger API

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

Accelerated Mobile Pages (AMP) URL API

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

⬅ Back to the list of mock samples