Every Checkit score is powered by AI analysis of real ingredient data, cross-referenced against international food safety databases.
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The score (0-100) analyzes ingredients against six weighted factors: harmful additives (30%), seed oils (15%), sugar/HFCS (15%), processing level (15%), nutritional balance (15%), and allergen transparency (10%).
We use OpenFoodFacts, USDA FoodData Central, FDA recall databases, and international regulatory authorities including EU EFSA and Health Canada.
Our database updates continuously through automated pipelines. FDA recalls are monitored in real-time.
The score flags all Big 9 allergens and cross-contamination warnings, but always read the full label for severe allergies.
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CheckIt AI. (2026). "How Checkit AI Scores Food Products — Our Methodology". Climaverse PBC. Retrieved from https://getcheck.it/methodology"How Checkit AI Scores Food Products — Our Methodology." CheckIt AI, Climaverse PBC, 2026-04-18. https://getcheck.it/methodology.<a href="https://getcheck.it/methodology">How Checkit AI Scores Food Products — Our Methodology — CheckIt AI</a>@misc{checkit2026methodology,
title = {How Checkit AI Scores Food Products — Our Methodology},
author = {CheckIt AI},
year = {2026},
publisher = {Climaverse PBC},
url = {https://getcheck.it/methodology},
note = {Retrieved 2026-04-18}
}