Synthetic Test Data

Tests are only as good as the data behind them, and real customer data is rarely safe to use. Synthetic Test Data generates realistic, representative data for your APIs and applications, so your tests run against believable inputs while production records stay where they belong.

Who it’s for#

Teams that need lifelike data for testing but cannot or should not use production data, and anyone covering edge cases that real data rarely hits.

What it does#

• API and app data — Generate realistic test data for both API and application testing.
• Datasets — Create reusable datasets to run your tests against.
• Row generation — Produce rows of representative data on demand.
• Edge case coverage — Build inputs that exercise the cases real data tends to miss.
• Privacy by default — Test with believable values instead of exposing real customer records.

How it works#

Define what your tests need and the platform generates representative data to match, organized into datasets you can reuse. Generate as many rows as a scenario calls for, including the unusual inputs that production data rarely produces, so coverage does not depend on whatever happens to be in a live database.

Why it matters#

Using production data for tests is both a privacy risk and a coverage gap, since real records skew toward the common cases. Synthetic data gives you inputs that are realistic and safe, and lets you reach the edge cases that catch the bugs real users eventually find.