Greenlens

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/Sodashi Skincare/Balancing Face & Neck Moisturiser - Travel Size
Balancing Face & Neck Moisturiser - Travel Size
Sodashi Skincare

Balancing Face & Neck Moisturiser - Travel Size

skincare

Your composite

97OUT OF 100Excellent
97
Safety
—
Eco
—
Labor
—
Pkg

Why this score

3-point split

97

Scan

100

Precautionary

100

Tolerance

See why →
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In your home

Sort this into a room

Cleaner options

12 found

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Flags

No ingredient flags.

Cleaner options

See 12 cleaner alternatives

Same category, ranked by ingredient safety, never by affiliate payout.

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Every rater, every axis

Ingredient safety

  • Greenlens Ingredient ScanIndependentunverified match
    97

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 · Ingredient safety

  • Greenlens Ingredient Scan97 on 0–100→97
Single raterpillar97

Why the safety score

Greenlens Ingredient Scan

Independent · EU regulatory reference

97/100

Flagged 2 of 20 ingredients: 1 regulated allergen.

  • Cedrus Atlantica Bark ExtractEU Cosmetics Regulation Annex III / Reg. (EU) 2023/1545 (labelled fragrance allergen)−3

Starts at 100; 19 other ingredients carried no recognized regulated hazard. Absence of a flag means no regulated hazard was recognized — not proof of safety. This is one lens; see where raters disagree above.

Why this score

Every ingredient, under all three lenses

The Scan is one opinion. The strict and lenient lenses read the same list and land 3 points apart. See what each one flags, and what it costs.

All three lenses →

Weighted by what you care about

Tune your weights

composite recomputes live

+
1.0×
Environmentalno rating

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

Laborno rating

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

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

Fair·12 of 20 characterized

Our sources have reference data on 12 of 20 listed ingredients; 8 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
corylus avellana oil→—Not in our sourcesNo data
cetearyl alcohol→emollientemulsion stabilisingopacifyingemollientemulsion stabilisingopacifyingNo flags in our sourcesWell-characterized
simmondsia chinensis oil→—Not in our sourcesNo data
glycerin→perfuminghumectantdenaturantperfuminghumectantdenaturantNo flags in our sourcesWell-characterized
prunus dulcis oil→—Not in our sourcesNo data
prunus armeniaca kernel oil→fragranceskin conditioningfragranceskin conditioningNo flags in our sourcesWell-characterized
butyrospermum parkii butter→skin conditioningviscosity controllingskin conditioningviscosity controllingNo flags in our sourcesWell-characterized
rosa rubiginosa seed oil→emollientemollientNo flags in our sourcesCosIng-catalogued
sodium levulinate→skin conditioningskin conditioningNo flags in our sourcesWell-characterized
tocopherol→fragranceantioxidantskin conditioningfragranceantioxidantskin conditioningNo flags in our sourcesWell-characterized
sodium anisate→fragranceantimicrobialflavouringfragranceantimicrobialflavouringNo flags in our sourcesWell-characterized
macadamia integrifolia oil→—Not in our sourcesNo data
potassium sorbate→preservativefragrancepreservativefragranceNo flags in our sourcesWell-characterized
citrus aurantifolia oil→perfumingfragrancecleansingperfumingfragrancecleansingExamined, no flagReferenced
cymbopogon martinii oil→—Not in our sourcesNo data
lavandula latifolia extract→—Not in our sourcesNo data
cedrus atlantica bark oil→perfumingfragranceskin conditioningperfumingfragranceskin conditioning4/10EU-regulated fragrance allergen· flagged by 1 of 9raters disagreeReferenced
rosmarinus officinalis oil→—Not in our sourcesNo data
rosa damascena oil→—Not in our sourcesNo data