Mock sample for your project: EVE Swagger Interface API

Integrate with "EVE Swagger Interface API" from evetech.net in no time with Mockoon's ready to use mock sample

EVE Swagger Interface

evetech.net

Version: 0.8.6


Use this API in your project

Speed up your application development by using "EVE Swagger Interface API" ready-to-use mock sample. Mocking this API will help you accelerate your development lifecycles and allow you to stop relying on an external API to get the job done. No more API keys to provision, accesses to configure or unplanned downtime, just work.
Enhance your development infrastructure by mocking third party APIs during integrating testing.

Description

An OpenAPI for EVE Online

Other APIs in the same category

Flickr API Schema

flickr.com
A subset of Flickr's API defined in Swagger format.

Cloud IoT API

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

Chrome UX Report API

The Chrome UX Report API lets you view real user experience data for millions of websites.

Kubernetes Engine API

Builds and manages container-based applications, powered by the open source Kubernetes technology.

Digital Asset Links API

Discovers relationships between online assets such as websites or mobile apps.

Cloud Spanner API

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

Content API for Shopping

Manage your product listings and accounts for Google Shopping

Firebase Dynamic Links API

Programmatically creates and manages Firebase Dynamic Links.

Policy Troubleshooter API

VocaDB

vocadb.net

Cloud AutoML API

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

Recommendations AI (Beta)

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.