---
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id: "30c38a4f4bf9960ad2b06834daf017ef449f26a71d878fe80173cbd524a3712d"
canonical_url: "https://aidr.today/30c38a4f?lang=en"
title: "Synthesis Through Simulation: Generating Coherent Enterprise Data via Scalable Agent-System Interaction"
lang: "en"
requested_lang: "en"
available_langs: ["en","vi"]
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published_at: "2026-10-09T04:00:00.000Z"
category: "Data"
topics: ["agent","data-engineering"]
source_urls: ["https://arxiv.org/abs/2610.10549"]
summary: "Synthesis Through Simulation (STS) is a schema-free data synthesis paradigm where an LLM agent generates data by executing operations against policy-enforcing APIs in simulated enterprise environments."
---

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

> [Open the canonical story](<https://aidr.today/30c38a4f?lang=en>)

**Published:** 2026-10-09T04:00:00.000Z
**Category:** Data
**Topics:** agent, data\-engineering

## Summary

Synthesis Through Simulation \(STS\) is a schema\-free data synthesis paradigm where an LLM agent generates data by executing operations against policy\-enforcing APIs in simulated enterprise environments\.

## Sources

- [Story source](<https://arxiv.org/abs/2610.10549>)