Synthesis Through Simulation: Generating Coherent Enterprise Data via Scalable Agent-System Interaction

The paper introduces Synthesis Through Simulation (STS), a schema‑free data synthesis method that uses a large language model agent to generate enterprise data by interacting with policy‑enforcing APIs in simulated environments. STS ensures structural validity by construction and separates validity enforcement from distribution modeling. The Generalist Populator, an agent within STS, achieves high distributional fidelity (0.88 average marginal fidelity) and full constraint satisfaction across ten environments without needing database schemas, outperforming traditional statistical synthesizers and schema‑privileged agents.

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• llms
• agents