Create high-quality, customizable synthetic datasets for AI development, software testing, and business simulations. Generate interconnected records without exposing real customer information.
| customer_id | name | country | total_spent | orders |
|---|---|---|---|---|
| C000001 | Emma Carter | US | 1,240.50 | 12 |
| C000002 | Liam Johnson | GB | 980.00 | 8 |
| C000003 | Olivia Smith | CA | 670.25 | 5 |
| C000004 | Noah Williams | US | 2,430.10 | 18 |
| C000005 | Ava Brown | AU | 390.00 | 3 |
Illustrative preview. Try a live sample below.
Rule-based generation with statistical distributions and fictional entities — no customer data required.
Orders reference real customers and products. Returns reference real purchases. Every foreign key is checked.
Volume, date ranges, geography, value distributions, missing data, duplicates and anomaly rates.
Set a seed and get the exact same dataset every time — ideal for repeatable tests and CI.
Schema, integrity, duplicate, missing-value and distribution checks computed on every dataset.
Files live in private storage. Downloads use short-lived links checked against your account.
Per-table CSV, full JSON bundle, or SQL with CREATE TABLE and INSERT statements.
Generated on our servers right now. Change the seed for a new, reproducible dataset.
Start free — 1,000 records a month, no credit card.
Create an account and generate your first dataset in a couple of minutes.
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