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Every public rating on one cosmetic, the places they disagree kept visible, and a single score whose weighting you control.

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The one rule

We never blend a score that hides who disagrees. Funding model travels with every rating. Weights are computed at read time and never stored.

Cosmetics only · lead with safetyOpen data via Open Beauty Facts · no EWG/Yuka scraping
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Catalog/Henkel/Full Hair Wonder
Full Hair Wonder
Henkel

Full Hair Wonder

hair conditioners for damaged hair200mlGTIN 9000101749670

Your composite

30OUT OF 100Horrible
—
Safety
—
Eco
30
Labor
—
Pkg
Find on Amazon↗

Affiliate link. We may earn a commission. It never changes a rating.

In your home

Sort this into a room

Alternatives

Nothing beats this on safety.

Flags

No ingredient flags.

Every rater, every axis

Ingredient safety

    Also screened — no listing found

    • US NTP Report on Carcinogens
    • ECHA SVHC Candidate List
    • IARC Monographs
    • EU Harmonised Classification (CLP Annex VI)
    • Health Canada Ingredient Hotlist
    • California Proposition 65
    • ANSES Endocrine Disruptors

    Environmental

      Also screened — no listing found

      • EU Microplastics Restriction

      Labor

      • Cruelty-Free CertificationNonprofitunverified match
        30

      Coverage & match quality

      1 rating · 1 of 4 axes

      • Some ratings rest on an automatic match that has not been human-reviewed.
      • Fewer raters reach smaller-brand products, so a missing rating is not a clean bill of health, only a gap.

      no black box

      How this score is built

      We don't rate products ourselves. We collect what each public rater already says, put every scale on common ground, and keep the disagreements visible instead of averaging them away.

      1. 1

        Collect each rater's own score

        Every source keeps its native verdict for this product. We never invent a score for an axis a source didn't measure.

      2. 2

        Normalize to 0–100, higher = better

        Raters can use different scales and directions: some where a low number means safe, some where a high one does. We map them all onto one 0–100 axis and flip the ones that run backwards so the numbers are finally comparable.

      3. 3

        Average per axis, but keep the spread

        Scores on the same axis become one representative number (their mean). When raters split by 20+ points we flag it and keep every rater's number. A disagreement is never blended into silence.

      4. 4

        Your weights make the overall

        The ring is the weighted average of the four pillars using your weights. It's computed fresh every time and never stored, so there's no hidden “objective” default.

      worked example · Labor

      • Cruelty-Free Certification30 on 0–100→30
      Single raterpillar30

      Weighted by what you care about

      Tune your weights

      composite recomputes live

      +
      Ingredient safetyno rating

      No rater covers this axis for this product, so its weight can't move the score.

      Environmentalno rating

      No rater covers this axis for this product, so its weight can't move the score.

      1.0×
      Packagingno rating

      No rater covers this axis for this product, so its weight can't move the score.

      0 means ignored. Higher = more weight in your composite.

      Ingredients, decoded

      Data availability

      Limited·4 of 13 characterized

      Our sources have reference data on 4 of 13 listed ingredients; 9 are uncharacterized in our data — a gap, not a clean bill.

      Every listed ingredient: its function, where our safety lists land, and whether our sources have data on it.
      IngredientWhat it doesSafetyData
      Aqua→solventsolventNo flags in our sourcesWell-characterized
      Trisiloxane→antifoamingskin conditioningantifoamingskin conditioningNo flags in our sourcesCosIng-catalogued
      Dimethicone→emollientantifoamingskin conditioningemollientantifoamingskin conditioningNo flags in our sourcesWell-characterized
      Prunus Armeniaca→—Not in our sourcesNo data
      Kernel Oil Phenyl Trimethicone→—Not in our sourcesNo data
      Caffeine Hydrolyzed Wheat Protein Dimethiconel→—Not in our sourcesNo data
      Polyquaternium-16-Parfum→—Not in our sourcesNo data
      Cetyl PEG→—Not in our sourcesNo data
      PPG-10→—Not in our sourcesNo data
      1 Dimethicone→—Not in our sourcesNo data
      Cetrimonium Chloride→preservativeantimicrobialantistaticpreservativeantimicrobialantistaticNo flags in our sourcesReferenced
      Lactic Acid Sodium Benzoate Limonene Benzyl Salicylate→—Not in our sourcesNo data
      Hexyl Cinnamal Benzyl Alcohol Coumarin Alpha-Isomethyl Ionone→—Not in our sourcesNo data

      Where this came from

      Cruelty-free status recorded from crueltyfree.peta.org ↗

      Researched facts on Greenlens always carry the page that stated them — nothing is inferred from a model's memory.