> For the complete documentation index, see [llms.txt](https://docs.corraldata.com/kb/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.corraldata.com/kb/organize-your-data/verified-data-models.md).

# Verified Data Models

Data models (reusable SQL definitions, formerly called data sets) can now be marked **verified** — a governance flag that tells both your team and our AI which definitions are the maintained, trusted source of truth.

### What the verified flag means

A verified data model is one that CorralData (or your data lead) maintains as the approved definition of that data — your revenue model, your appointments model, your marketing-spend rollup. Unverified models are still useful for exploration, but they're someone's working copy, not the standard.

### Why it matters for AI answers

AskCorral and the CorralData MCP server **prefer verified data models** when answering a question. If a question can be answered from a verified model, the AI grounds its answer there instead of hand-writing fresh SQL against raw tables — so two people asking the same question get the same number, computed the way your organization defined it.

When an answer is grounded this way, AskCorral surfaces the provenance — which governed metric or data model the answer was computed from — so you can trust it and reconcile it.

### What this protects against

Without the flag, an edited or experimental copy of a dataset could silently become the source for an AI answer. With it, unmaintained copies can't pollute your numbers: the verified definition wins.

{% hint style="info" %}
Want a data model verified, or a metric definition locked in as your organization's standard? Reach out to your CSM or <support@corraldata.com>.
{% endhint %}


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## Querying This Documentation
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