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/Alaffia/Kids Bubble Bath - Coconut Chamomile
A
Alaffia

Kids Bubble Bath - Coconut Chamomile

uncategorized

Your composite

91OUT OF 100Excellent

range 90–93

100
Safety
—
Eco
83
Labor
—
Pkg

Why this score

2-point split

100

Scan

98

Precautionary

100

Tolerance

See why →
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In your home

Sort this into a room

Alternatives

No category on file, so no fair comparison.

Flags

No ingredient flags.

Every rater, every axis

Ingredient safety

Raters agree
  • Greenlens Ingredient ScanIndependentunverified match
    100
  • Greenlens Tolerance ScreenIndependentunverified match
    100

Labor

Raters agree
  • Open Beauty Facts CertificationsNonprofitunverified match
    80
  • Cruelty-Free CertificationNonprofitunverified match
    85

Coverage & match quality

4 ratings · 2 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 Scan100 on 0–100→100
  • Greenlens Tolerance Screen100 on 0–100→100
Average of 100 · 100pillar100

Why the safety score

Greenlens Ingredient Scan

Independent · EU regulatory reference

100/100

No EU-regulated hazards recognized among 18 ingredients.

Starts at 100; 18 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 2 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.

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

Robust·17 of 18 characterized

Our sources have reference data on 17 of 18 listed ingredients; 1 is 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/Water/Eau→—No flags in our sourcesWell-characterized
Decyl Glucoside→cleansingemulsion stabilisingsurfactant - cleansingcleansingemulsion stabilisingsurfactant - cleansingNo flags in our sourcesWell-characterized
Lauryl Glucoside→cleansingsurfactant - cleansingcleansingsurfactant - cleansingNo flags in our sourcesWell-characterized
Hibiscus Sabdariffa Flower→skin conditioningskin conditioningNo flags in our sourcesCosIng-catalogued
Coco Nucifera Oil→—Not in our sourcesNo data
Cocos Nucifera Fruit Extract→emollienthair conditioningskin conditioningemollienthair conditioningskin conditioningNo flags in our sourcesWell-characterized
Anthemis Nobilis Flower Extract→perfumingfragranceskin conditioningperfumingfragranceskin conditioningNo flags in our sourcesCosIng-catalogued
Caprylic/Capric Triglyceride→perfumingfragranceskin conditioningperfumingfragranceskin conditioningNo flags in our sourcesWell-characterized
Coffea Arabica Seed Extract→fragranceskin conditioningfragranceskin conditioningNo flags in our sourcesCosIng-catalogued
Dipteryx Odorata Seed Extract→fragrancefragranceNo flags in our sourcesCosIng-catalogued
Prunus Armeniaca Fruit Extract→skin conditioningskin conditioningNo flags in our sourcesWell-characterized
Pyrus Malus Fruit Extract→skin conditioningskin conditioningNo flags in our sourcesCosIng-catalogued
Vanilla Planifolia Fruit Extract→smoothingskin conditioningskin protectingsmoothingskin conditioningskin protectingNo flags in our sourcesCosIng-catalogued
Ethylhexylglycerin→deodorantskin conditioningdeodorantskin conditioningNo flags in our sourcesWell-characterized
Sodium Phytate→chelatingoral carechelatingoral careNo flags in our sourcesWell-characterized
Potassium Sorbate→preservativefragrancepreservativefragranceNo flags in our sourcesWell-characterized
Phenoxyethanol→preservativeantimicrobialpreservativeantimicrobial4/10Mild sensitizer for some· flagged by 1 of 9raters disagreeReferenced
Citric Acid→fragrancechelatingbufferingfragrancechelatingbuffering4/10Health Canada Hotlist — restricted· flagged by 1 of 9raters disagreeReferenced

Where this came from

Cruelty-free status recorded from leapingbunny.org ↗

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