Single-job utility apps for ChatGPT and MCP assistants — deterministic answers the model can't fabricate.

Validation report panel filled with engine result rows

Developer Tools · Productivity

Croissant Dataset
Check

Validate a hosted Croissant ML-dataset metadata doc with the real mlcroissant structure-graph engine, plus a bounded distribution-reachability probe

Croissant Dataset Check runs the same live engine here and in your assistant

Live playground

Use Croissant Dataset Check now

Point a tool at any public Croissant JSON-LD endpoint and the pinned mlcroissant engine builds the real structure graph — resolved Field sources, cross-RecordSet references, and a bounded distribution reachability probe.

Your usage

Free forever — create a free account for a bigger monthly allowance that follows you across every app and every assistant.Pooled across every app and surface. Manage usage

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Marketplaces

Open Croissant Dataset Check where you already work — every listing runs the same live engine as this page.

  • Marketplace listings are on the way. Meanwhile, point any MCP-compatible assistant straight at the live endpoint: https://powmcp.com/ml-dataset-metadata-check/mcp

Proof

Real apps.Real engines.Real results.

Application
Croissant Dataset Check
Category
Developer Tools
Platform
Web

Engine Anatomy

Proof

Croissant Dataset Check

What it does

Validate a hosted Croissant ML-dataset metadata doc with the real mlcroissant structure-graph engine, plus a bounded distribution-reachability probe

Validate one public Croissant (MLCommons) dataset metadata JSON-LD document against the pinned mlcroissant engine — resolving Field sources, cross-RecordSet references, and duplicate ids into a real structure graph and probing declared distributions for reachability — or compare two same-lineage Croissant docs across dataset versions, with a clear structural-metadata-versus-data-correctness boundary.

CategoryDeveloper Tools
PlatformWeb

Tools in this application

Croissant Check

croissant_check

croissant_check

Croissant Compare

croissant_compare

croissant_compare

0USD

Free to use with fair-use rate limits.

Croissant Dataset Check questions

Scope and boundaries for Croissant Dataset Check.

01What does Croissant Dataset Check actually check?

Validate one public Croissant (MLCommons) dataset metadata JSON-LD document against the pinned mlcroissant engine — resolving Field sources, cross-RecordSet references, and duplicate ids into a real structure graph and probing declared distributions for reachability — or compare two same-lineage Croissant docs across dataset versions, with a clear structural-metadata-versus-data-correctness boundary.

02What does it never do?

It reports what its pinned engine measured and nothing more — it does not judge quality, correctness of your underlying business decisions, or anything outside its stated scope, and it never fabricates a result.

03What does it cost?

Nothing. Every published app is free to use with fair-use rate limits.

04Can my assistant connect directly?

Yes — any MCP-compatible assistant can connect straight to the canonical endpoint: https://powmcp.com/ml-dataset-metadata-check/mcp. Marketplace listings are conveniences over the same live engine.