ReCode

Mock Data Factory

Specification
Handler Config
5
Standard
Response Behaviour
0ms
Instant
0%
No Errors

Awaiting Specification

Paste a GraphQL SDL, OpenAPI definition, TypeScript interfaces, or a plain REST spec to generate fully functional mock handlers.

Hint: Supports GET /api/users, type User { … }, and OpenAPI YAML.

Generate Relational, High-Fidelity Mock Data

Instantly generate interconnected rows of realistic data. Paste your SQL DDL, TypeScript interfaces, Prisma schema, or JSON schemas, define behavioral rules, and get production-ready relational mock data — editable in-browser or seeded directly into your database.

Key Features

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Schema Inference

Automatically parses DDL, Prisma ORM, or TypeScript interfaces to understand data types and constraints.

Relational Integrity

Foreign keys intelligently map to generated primary keys across multiple tables, respecting an ERD-visualized dependency graph.

Behavioral Rules

Define exact mathematical distributions, chronological date logic, and geographic localization down to the column level.

Live Editable Grid

Sort, filter, and inline-edit any generated cell, or regenerate a single value on demand without rerunning the whole batch.

Direct Database Seeding

Push generated rows straight into a connected database in batches, with per-table progress, cancellation, and one-click rollback.

Reusable Templates

Save schema and rule configurations as named templates in your local library for instant reuse across projects.

Frequently Asked Questions

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Can I export to SQL?

Yes, you can preview the data in the UI and export it as JSON, CSV, or raw SQL INSERT statements.

How are foreign keys handled?

The AI maps the schema relations and ensures that IDs referenced in child tables actually exist in the generated parent tables.

Can I seed data directly into my database?

Yes. Connect a database and seed generated rows in batches, with live per-table progress tracking, the option to cancel mid-run, and rollback for any tables affected by a failed or cancelled run.

What if I need to tweak a single value?

Every cell in the results grid is editable inline, and you can regenerate an individual cell on its own without regenerating the entire dataset.

Does it support localization?

Yes, you can apply geographic and locale-aware rules (names, addresses, phone formats, currencies, etc.) at the column level.

Can I reuse a schema across projects?

Yes, save any schema and its rule configuration as a named template in your local library for one-click reuse later.

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