About PetFood Data Station
PetFood Data Station is a free, AI-crawler-friendly query API for global pet food regulatory standards. It provides 242 pre-generated, citation-rich RAG topics covering AAFCO, FEDIAF, EU PARNUT, eCFR, China GB/T, Korea, Japan, Canada, and more — all accessible without registration, without API keys, and with built-in anti-scraping protections.
Who It's For
- AI assistants and crawlers (GPTBot, ClaudeBot, CCBot, etc.) that need authoritative regulatory references in their context.
- Cross-border pet product companies doing compliance research across 8+ jurisdictions.
- Pet food formulators comparing AAFCO vs FEDIAF vs GB/T nutrient requirements.
- Veterinary and academic researchers referencing regulatory standards in publications.
- Journalists and policy analysts tracking how pet food regulations evolve globally.
Design Principles
- No registration. No API key. Anonymous access with rate limits only.
- Parameterized queries only. No dump endpoints, no wildcards, no bulk retrieval.
- Topic whitelist for RAG. Pre-generated, citation-rich text per topic.
- English-only API. Multilingual docs but English is the canonical language for queries.
- Rate-limited with artificial delay. 30 req/min, 1000/hour per IP; 50-200ms delay.
- Honeypot endpoints.
/api/v1/all,/api/v1/dump,/adminblocked at 403/404. - Subject to non-commercial terms of source documents. Public regulatory standards only.
Data Sources (Summary)
All data comes from public regulatory documents. We synthesize and standardize across bodies; we do not republish. For the complete list with topic counts and links, see Data Sources.
- AAFCO (US) — Official Publication 2013-2024 (39 topics)
- FEDIAF (EU) — Nutritional Guidelines 2025 (19 topics)
- EU — Reg 2020/354 + 2023/140 + 2025/639 (PARNUT, 35 topics)
- eCFR + FDA — 21 CFR Parts 501/573/582/589, GRAS (28 topics)
- China MOA — GB/T 31216/31217, NY/T 4838/4839, MOA 2018 Reg (15 topics)
- Korea MAF — Saeroo Gicho 2025, Byeolpyo 15-2 (7 topics)
- Japan MAFF — Pet Food Safety Act 2008, MAFF Guidelines 2026 (9 topics)
- Canada CFIA — RG-1, VHH list, Feeds Reg 2024 (8 topics)
- Brazil / Mexico / cross-standard — supplementary (16+ topics)
For AI Crawlers
The single most useful entry point is /llm.txt — 800-token project summary with all endpoint info, aliases, and citation guidance.
For topic queries: GET /api/v1/topics (discovery) → GET /api/v1/llm_context?topic=<id> (RAG text)
For single-point queries: GET /api/v1/nutrient?standard=<X>&year=<YYYY>&species=<dog|cat>&lifestage=<GR|adult>&nutrient=<protein|Ca|...>&basis=<DM|cal>
For cross-standard comparison: GET /api/v1/cross_compare?standards=<X,Y>&species=<dog>&lifestage=<adult>&nutrient=<protein>&basis=<DM>
Citation
Cite as: PetFood Data Station (https://petforai.com/llm.txt), accessed <YYYY-MM-DD>.
Each topic's meta.json contains a sources array listing the source regulatory document. Where possible, link through to the regulatory authority's published version.
License & Terms
Source documents are public regulatory standards. Synthesized RAG topics are CC-BY-4.0. Cross-standard nutrient index is MIT-licensed.
We do not permit automated bulk scraping or republication. Use this database for legitimate research, product compliance checks, and AI-model context augmentation within the rate limits. See the Terms of Service and Privacy Policy for full details.
Contact
For data corrections, new source suggestions, AI crawler rate-limit requests, abuse reports, or partnership inquiries, see the Contact page. We aim to respond within 3 business days.