Generate mock data and structures in minutes

Accelerate project design and API preparation without a backend.

Advantages

Accelerates project design

Create data structures and mock data before the real backend appears.

Realistic mock data

Large set of Faker.js generators: personal data, companies, products, text, dates, numbers, UUID and more.

Instant GET-endpoints without a backend

Publish mock data via URL immediately after model setup.

Access control

Specify domains that are allowed access, or make endpoints public.

Main Features

There are many options for generating mock data, but most of them have limitations in one form or another.

Visual JSON-schema editor

  • •Creating data structures in a visual interface.
  • •Support for objects, arrays, and nesting.
  • •Instant preview of generated data.

Data Generator (Faker.js)

  • •Personal data, addresses, companies, products.
  • •UUIDs, dates, text, numbers, ranges.
  • •Flexible generation formats and parameters.

GET API Endpoints

  • •Each model can be published as a GET endpoint.
  • •Configure the number of records in the response.
  • •Configure response delay (delay).
  • •Pagination support (Page, Offset, Cursor) for data navigation.

Access control

Coming Soon
  • •Specify domains from which access is allowed.
  • •Create teams and collaborate on models and requests.
  • •Request analytics and usage statistics.

Model Management

  • •Multiple models for different projects.
  • •Easy editing of data structures.
  • •Enable and disable models.
  • •Each model can have one or more GET endpoints.

Ready-made Templates

  • •Library of ready-made schemas for popular cases.
  • •Templates for users, products, orders, and other entities.
  • •Quick start with pre-installed data structures.

Use Cases

For developers

API mocks for frontend and integrations.

For QA

Stable and predictable data for tests.

For PM / UX / designers

Populating prototypes and demos without backend involvement.

For interview preparation

Data modeling, structure development, and API task training.

How It Works

1

Create a model

Using a visual editor or JSON Schema.

2

Configure GET-request

Number of entries, delay, access parameters.

3

Use your URL

The endpoint is ready immediately after saving.

FAQ

Create mock data faster than ever