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Brand

Beaver

26 productsAvg score: 36/100

Japanese Horseradish Wasabi Powder

Extra Hot Chinese Mustard

Cream horseradish

Cream Horseradish

Cream Horseradish

Diisseldorf Mustard

Extra Hot Horseradish

Extra Hot Horseradish

Extra hot horseradish sauce

Horseradish Grated Horseradish Roots

Horseradish Grated Horseradish Roots

Whipped Horseradish Sour Cream

Extra hot wasabi horseradish

Hawaiian Pineapple Mustard

Beaver, chinese mustard, extra hot

Cranberry Mustard

Mild dijon mustard

Deli Mustard

Beaver, extra hot jalapeno mustard

Dijon Mustard

Dijon Mustard

Honey Mustard

Honey Mustard Mayonnaise

Pickle mustard

Sweet hot mustard ounce squeeze bottle

Extra Hot Sriracha Mustard

Mustard, Hickory Bacon

Tartar Sauce

Tartar Sauce

Zesty Deli Horseradish Sauce

Zesty Deli Horseradish Sauce

Salted Sweet Cream Butter

About Beaver on Looksee

Looksee tracks 26 products from Beaver in the catalogue. Across the 25 scored products, the average Looksee Score is 36/100 (Poor).

Score breakdown: Poor (15), Fair (9), Excellent (1). Highest-scoring: Japanese Horseradish Wasabi Powder at 100/100. Lowest-scoring: Zesty Deli Horseradish Sauce at 23/100.

Nutri-Score grades in this catalogue: E (11), C (8), D (4), A (1).

Processing level (NOVA classification): Group 4 — Ultra-processed food (24), Group 1 — Unprocessed or minimally processed (1), Group 2 — Processed culinary ingredient (1).

Category: food (26).

Every Looksee Score combines three independently validated signals into one 0–100 number, where higher is always better: Nutri-Score (nutrition quality — calories, saturated fat, sugar, and salt weighed against fibre and protein, up to 40 points), NOVA classification (degree of industrial processing, from unprocessed to ultra-processed, up to 35 points), and additive risk (a risk-weighted penalty for ingredients flagged by EFSA or peer-reviewed studies, up to 25 points). If a pillar has no data for a given product, it is dropped from both the numerator and denominator so the product is never penalised for a data gap. See the full scoring methodology →