Licence and attribution

The data

Everything this service publishes is derived from Title 27 of the Code of Federal Regulations, parts 4 and 24, retrieved from the Electronic Code of Federal Regulations. A work of the United States Government is not subject to copyright protection in the United States (17 U.S.C. §105). It is public domain: you may redistribute it commercially without asking anyone. No attribution is required. It is given anyway.

DatasetSourceLicenceObligation
Composition limits (8)27 CFR part 4 via eCFRUS public domainnone
Treatment materials (79 uses, 60 materials)27 CFR 24.246 via eCFRUS public domainnone
Production sections (9)27 CFR part 24 via eCFRUS public domainnone

The server

MIT licensed. If a rate limit is in your way, host your own copy — a rate limit is a property of my hardware, not of the data.

What was excluded, and why

This service was briefed as a wine quality prediction API. It is not one, and the reason is a licence:

SourceLicenceVerdict
UCI Wine Quality (Cortez et al. 2009) — the canonical chemistry-to-sensory datasetCC BY 4.0🚫 Attribution obligation. This fleet takes public domain or CC0 only — the same rule that excluded FAOSTAT. Access was never the problem; the download needs no key.
Kaggle and GitHub mirrors of the same datavarious badges🚫 Re-uploads of the same Cortez data. A repository's licence badge cannot manufacture rights the uploader never held.
USDA FoodData CentralUS public domain🚫 Licence is fine, but it has no sensory quality scores — composition without a target is not a training set.
OIV compendium of analysis methods and maximum limitsOIV terms🚫 Forbids uses other than those specified, including commercial use.
AOAC Official Methods of AnalysisCopyrighted, sold🚫 Not public domain. This service reports limits, never methods.

The consequence is stated rather than hidden: there is no model here and no prediction endpoint. The full register is served at /v1/sources and the build fails if it stops being declared.

Attribution given