# Preprint reports schema-free generation of valid enterprise test data

_Published Friday, October 9, 2026 at 12:05 AM EDT · AI, Science · Latest · Tier 2 — Notable_

Researchers report in an arXiv preprint that their Generalist Populator agent generated enterprise data with 100% constraint satisfaction and 0.88 average marginal fidelity across ten simulated environments without accessing database schemas. The method, Synthesis Through Simulation, creates data by executing operations through APIs that enforce each environment's policies.

The researchers released the framework, all ten environments and generated datasets as open source. Statistical synthesizers could not be applied to seven environments because they required seed data. Agents with schema access failed 82% of trajectories in the airline environment. The results measure performance within simulated enterprise systems.

## Sources

- [cs.AI updates on arXiv.org](https://arxiv.org/abs/2610.10549)

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Canonical: https://techandbusiness.org/newswire/ezZKVjCK4uOe8E_5Nyt3Mc
Published: 2026-10-09T04:05:13.863Z
Story chronology: 2026-10-09T04:00:00.000Z
Retrieved: 2026-10-09T06:35:05.633Z
Publisher: Tech & Business (techandbusiness.org)