Data Intelligence Agents: Interpreting, Modeling, and Querying Enterprise Data via Autonomous Coding Agents

Production data integration is bottlenecked by repeated, lossy handoffs between data owners, engineers, and analysts who must collaboratively discover, structure, and query enterprise data. We present Data Intelligence Agents (DIA), a system of three agents (Data Interpreter, Schema Creator, and Query Generator) that compresses this workflow by treating autonomous coding agents (ACAs) as a first-c

Score6.8

Popularity21.8

Risknone

TierSilver

Score breakdown

Usefulness7.0

Novelty7.0

Momentum6.0

Maturity5.4

Open-source/build6.8

Evidence7.2

Workflow potential7.2

Setup ease4.2

Popularity is tracked separately. Support, ads, sponsorships, and tips never affect these signals.

Why it matters

Data Intelligence Agents: Interpreting, Modeling, and Querying Enterprise Data via Autonomous Coding Agents

Who should use it

data platform teamsenterprise AI implementersresearch teams

Who should skip it

Skip if you need a production-ready tool rather than research context.

Risk explanation

No inherent user-impacting risk is flagged from the captured evidence.

Evidence links

arxiv.org

Closest alternatives / related signals

autonomous coding agentsenterprise dataorchestration