Test data · updated 2026-10-05

Test data factory and credentials vault

Seeded synthetic data from a topic, a schema or a parent-child pair, locale-real in 16 countries, checksum-valid identifiers, and an AES-256-GCM vault.

For: Teams that need a staging environment with no copy of production personal data, and anyone tired of secrets in collections.

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Capabilities

Three ways to generate

A preset topic, a schema you paste or infer, or a parent and child joined by a real foreign key.

Seeded and reproducible

The same seed produces the same data, so a failing test can be reproduced.

Locale-real in sixteen countries

Names, addresses and formats that look right for each locale.

Checksum-valid, fictitious identifiers

National and financial identifiers that pass validation and belong to nobody.

A credentials vault

Secrets encrypted with AES-256-GCM, referenced by name from environments and flows, never pasted into a collection.

Masking and governance

Mask what must be masked and record who used which dataset, for enterprise test-data management.

How it works

Choose a sourceA topic, a schema, or a parent-child pair.
Set the seed and the localeThe run is reproducible; the data reads right for the market.
Generate and validateIdentifiers are checksum-valid; a quality report comes with the run.
Use it in testsIn recordings, API collections and load profiles, with secrets from the vault.

What you receive, and what we do not do

Evidence ledger

Per run: The seed, the schema, the locale, the row count and the validation report.
Per secret: Encrypted at rest with AES-256-GCM, referenced by name, with access logged.

Limits we state

Synthetic data is fictitious; it reproduces your production distribution only to the extent your schema describes it.
Monthly generation runs are metered: 25 on Free, 500 on Solo Pro, 2,500 on Team, unlimited on Enterprise.

Plans: The data generator is on every plan with a monthly allowance (Free 25, Solo Pro 500, Team 2,500, Enterprise unlimited); the credentials vault from Solo Pro. See the metering table.

Go deeper

Questions buyers ask

Is the generated data safe under GDPR and the DPDPA?

The data is fictitious: generated names, addresses and identifiers that validate but belong to nobody, so a staging environment seeded with it holds no personal data. The run is seeded, so it is reproducible without storing any real record.

Can I generate related tables?

Yes. The parent-child mode generates two linked datasets joined by a real foreign key, so an order always has a customer that exists.

Try it on your own application

The Free plan has no time limit and asks for no card. Or bring one flow from your product and we record it live.