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How is this different from ChatGPT or Perplexity?+
Foodgeist is food-specialized and cites its sources back to primary data (USDA, PubChem, ChEBI, 21 national food databases). General LLMs answer fluently but cannot tell you which peer-reviewed paper a claim came from, and they hallucinate compound identifiers. Foodgeist refuses to guess — if a fact isn't sourced, it says so.
Who is Foodgeist for?+
Professional chefs, recipe developers, food scientists, product engineers, curious home cooks, and students. If you ask "why does this work" more than "what's the next step," this is built for you.
Where does the data come from?+
Thirty-plus open, authoritative sources — USDA FoodData Central, Wikipedia, Wikidata, PubChem, ChEBI, OpenAlex, PubMed, 21 national food databases (CIQUAL, CNF, NUTTAB, Frida, and others), EFSA, Codex Alimentarius, BitterDB, FooDB, Phenol-Explorer, FlavorDB2, and live trend crawlers. Every row preserves its source and license.
How is the data verified?+
An adversarial verification pipeline — the only published food-data verification methodology — challenges every claim before it enters the graph. Ground-truth checks against PubChem and ChEBI run every 10 minutes. An independent audit process re-challenges the existing corpus every 15 minutes. Entries that fail are flagged or removed.
How often is the data updated?+
Continuously. New entries flow in from importers every 5 minutes; the viral nexus crawls 25+ sources every 2 hours; enrichment runs every 10 minutes; audits every 15. On any given day thousands of fields change.
Can I trust it for professional decisions?+
Foodgeist aims for primary-source accuracy, but we do not warrant that every claim is error-free. For high-stakes work (allergens, dietary compliance, commercial formulations, medical), verify against primary sources before acting. The platform surfaces source IDs and uncertainty flags specifically so you can check.