Mockingbird｜Load test app

Develop by Flagship Inc.

$99.99

/ Month

Free plan available

実際のデータに限りなく近しいモックデータを大量に自動で生成できるアプリ。シナリオテストやデータ連携テストに利用可能。

Scheduled tasks

Mock data generation

Automated test orders

Tagging orders

Note attributes

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About Mockingbird｜Load test app

Launched Apr 19, 2021

Built by Flagship Inc.

Email :

[email protected]

Address

5-3-23 WeWork Nippon TV Yotsuya Bldg, Kojimachi, Chiyoda-ku, JP-13, 102-0083, JP

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Description

Mockingbird auto-generates realistic mock data, ideal for scenario and data integration testing.

Mockingbird is an app that generates realistic mock data like shipping instructions for testing purposes. It reduces the effort to create test orders and allows easy export and schedule testing before launch. Generated data is labeled with “mockingbird” for easy identification, supports notes, and up to 30,000 orders can be created in the paid plan. Free trial available.

Generate large amounts of mock data with one click,perfect for data and scenario
Scheduling feature: Automatically generate test orders daily at a set time.
Tagged data generation: Easily distinguish test orders with specific tags.
Supports detailed settings: Allows adding data to note attributes.

Pros

Generates realistic mock data for testing, closely resembling actual data
Significantly reduces resources needed for test order creation
Facilitates easy execution of data output and scheduled data output tests before site launch
Capability to generate large volumes of mock data with one click
Features a scheduling function to automatically create test orders at a set time daily
Generated data is easily identifiable with unique tags ('mockingbird', 'test order')
Supports detailed customization by allowing data addition to note attributes
Paid version permits creation of up to 30,000 orders with one click

Cons

Features related to the volume of data generation and scheduling may require the paid version for full access
Potential complexity or learning curve for users unfamiliar with managing mock data at scale
No mention of customer support or assistance in case of technical issues