Green Seal Certified Products Directory

Datadory delivers green seal certified products directory building products data covering Green Seal's registry of certified products: 28 paints, coatings and adhesives certified to the GS-11 standard inside a roughly 360-company certified index, each record carrying manufacturer, brand line, SKU list, standard edition, LEED credit eligibility and a certified-since year. Delivered daily, weekly, or hourly.

What is the Green Seal Certified Products Directory?

Green Seal is the US-headquartered nonprofit that wrote the ecolabel most American paint specifications actually cite, and its Certified Products Directory is the registry of what currently holds the mark. For building products, the relevant slice is the Paints, Coatings & Adhesives category: architectural paints, coatings, wood floor finishes, fire-inhibiting coatings and adhesives, all certified against GS-11 — Paints, Coatings, Stains, and Sealers.

A GS-11 certificate is not a marketing claim. It means an independent certifier assessed the formula against published limits on VOC content, carcinogens, reproductive toxins and performance, and the directory entry records exactly which edition the product cleared — Edition 3.2 versus Edition 4.0 matters when a specification cites one by number. Each record also names the manufacturer and brand, lists the SKUs the certificate covers, states the year certification was first granted, and notes which LEED credits the product contributes to — the low-emitting-materials credit that architects chase on nearly every institutional job.

Get a sample of this dataset and Datadory returns rows shaped like the dictionary below, for the categories you name.

What do sample rows look like?

Three certificates from the paints family, flat as they arrive in a delivery:

# product certificates from the Paints, Coatings & Adhesives family
# 28 products observed across the category; roughly 360 certified companies behind it

product_name     : ECO SPEC® Interior - Eggshell Finish W374/Y374
company          : Benjamin Moore
brand            : Eco Spec
category         : Paints, Coatings & Adhesives
standard         : GS-11 Edition 3.2 Paints, Coatings, Stains, and Sealers;
                   GS-11 Edition 4.0 Paints, Coatings, Stains, and Sealers
certified_since  : 2021
sku              : W37401/Y37401, W3741X/Y3741X, W3742X/Y3742X,
                   W3743X/Y3743X, W3744X/Y3744X
leed_eligibility : Eligible for LEEDv4.0/v4.1 Low-Emitting Materials Credit.
                   Eligible for LEEDv4.1 Material Ingredient Optimization Credit.

product_name     : Alora Paints Matte Finish Interior Paint
company          : Alora Paints
brand            : Alora Paints
category         : Paints, Coatings & Adhesives
description      : Premium interior paint; zero VOCs, zero emissions, low odor,
                   100% acrylic, quick-drying
certification_statement : Certified to GS-11 Ed. 4.0
certified_since  : 2022

# thin record - name, maker and brand only
product_name     : Royale Luxury Emulsion Glitz Ultra Matt GM22
company          : Asian Paints Limited
brand            : Royale Glitz Ultra Matt
category         : Paints, Coatings & Adhesives

Two things worth reading out of those rows. First, the certificate carries what a spec sheet does not: the exact standard editions (Eco Spec clears both 3.2 and 4.0), the SKU-level scope (five SKU pairs under one eggshell listing), and a first-certification year you can trend against. Second, depth varies by design — a flagship record like Eco Spec arrives fully documented while Royale Glitz appears as name, maker and brand. Both shapes are honest data; collapsing them into one uniform table would be the actual error.

What fields does the dataset include?

Nine core fields per record, drawn from the directory's own entry structure and verified during research; the example column shows real observed values, not placeholders.

Identity fields say what the product is and who stands behind it (product_name, company, brand, category). The certification block says what it cleared and when (certification_statement, standard, certified_since) — certified_since doubles as an adoption-timing axis for market work. Commercial resolution comes from sku and description: the stock numbers a distributor actually picks, in the language the manufacturer uses.

Additional fields on request are folded out below rather than promised blind — column presence varies slightly between entries, and we lock your exact column set against live records while cutting the sample.

What geography, time range, and granularity does coverage run at?

  • Geography: a US-headquartered certifier with global reach; certified companies and products sell primarily into the United States and Canada, with individual listings flagged where they are market-restricted (one observed paint is marked Canada-only).
  • Temporal: current certifications only, each carrying a certified-since year — 2021 for Eco Spec against 2022 for Alora Matte in the sample rows. Withdrawn certifications leave no archive behind, so first-certification years support adoption timing, while churn analysis needs a cadence that builds the history the registry itself does not keep.
  • Granularity: one row per certified product, filterable by category, brand initial range and certified company. Never aggregated — every downstream cut rolls up from the same atomic certificate.

Scale check: the paints category holds 28 products across two listing pages, sitting inside a companies view of roughly 360 certified organizations; no total across all categories is published anywhere, which matters before any sizing exercise. Against Datadory's full catalog — 1,744 datasets across 159 viable industries, averaging 7.81 on the quality rubric — this slice scores 8/10, with field definitions verified against live entries.

How is the data delivered?

API, files, or your warehouse. Daily, weekly, or hourly.

Pick the channel your pipeline already speaks: structured endpoints for lookup-style checks, bulk files sized for overnight warehouse loads, or a direct pipe into Snowflake, BigQuery or Redshift. Cadence is yours to set and yours to change later — because withdrawn certificates exit without a trace, a recurring delivery doubles as the change history, each snapshot diffing cleanly against the last. Every delivery ships with the full field dictionary and validation rows.

Who uses this data, and for what?

  • Green building specification support — match project requirements to certified candidates before submittal: the LEED eligibility column pre-screens low-emitting-materials and material-ingredient credits, so a spec writer shortlists from rows instead of reading directory pages.
  • Competitive intelligence for coatings manufacturers — see who holds GS-11 under which edition, whose certificates are newest, and where a rival has certified SKUs you have not; pattern work like this sits on our competitor tracking use case page.
  • Market sizing and adoption studies — counting certified products per standard edition and per certified-since year turns an ecolabel into a measurable low-VOC adoption curve for North American paint; methods on our market sizing use case page.
  • Procurement and ESG verification — confirm that a tender line item's claimed certification actually exists, down to the SKU, before the purchase order goes out; evidence trails land on our ESG emissions analysis use case.

Which personas get the most value?

Architects, specifiers and procurement teams get a pre-screenable candidate list matched to LEED credit language before anyone pays for a submittal. Competitive Intelligence & Product Teams at coatings manufacturers get a certificate map of their category — who cleared which GS-11 edition, and how recently. Market Researchers & Consultants get a defensible census of certified supply for green-building and low-VOC market studies. Data Scientists & ML Engineers get typed columns with verified definitions and honest nulls, so ingestion is configuration rather than cleaning archaeology.

How each persona wires this slice into daily work is expanded on the competitive intel and product teams, market researchers and data scientists building products pages.

How does it compare within building products data?

Three certification registries sit in this slice, and each answers a different question about a product's green claim. GREENGUARD measures emissions — chamber testing against more than 15,000 VOCs. Declare measures disclosure — ingredient-level contents with CAS numbers and Red List status, but only for manufacturers who chose to disclose. Green Seal measures conformance: a published multi-attribute standard (GS-11) that a product either meets or does not, judged by the nonprofit that wrote it.

The practical stack pairs all three — Declare for what is in the tin, GREENGUARD for what comes off the wall, Green Seal for what a certifier approved across the whole formulation. Where everything sits, see the best building products datasets ranking, the pooled building products data hub, or the Green Seal source profile for who the certifying body is and what else it publishes.

Which notes pair with this dataset?

  • NFRC Certified Fenestration Product Database — the certification-data neighbor on the fenestration side: rated window, door and skylight performance records that pair with GS-11 paint certificates when assembling a whole-envelope compliance story.
  • MaterialDistrict Materials Database — a broad discovery catalog of novel and conventional materials; useful as the universe that certification registries select from.
  • ICC-ES Evaluation Reports Directory — code-compliance evaluation reports, answering whether a product meets code where Green Seal answers whether it meets an environmental standard.
  • Green Seal source profile — the certifying body itself, its standards portfolio and both catalog records it contributes.
  • Building products data hub — the full pooled industry view, from price indexes to certification directories.

Sample rows — product certificates from the Paints, Coatings & Adhesives family

FieldValue
product_nameECO SPEC® Interior – Eggshell Finish W374/Y374
companyBenjamin Moore
brandEco Spec
categoryPaints, Coatings & Adhesives
standardGS-11 Edition 3.2 Paints, Coatings, Stains, and Sealers; GS-11 Edition 4.0 Paints, Coatings, Stains, and Sealers
certified_since2021
skuW37401/Y37401, W3741X/Y3741X, W3742X/Y3742X, W3743X/Y3743X, W3744X/Y3744X
leed_eligibilityEligible for LEEDv4.0/v4.1 Low-Emitting Materials Credit. Eligible for LEEDv4.1 Material Ingredient Optimization Credit.
product_nameAlora Paints Matte Finish Interior Paint
companyAlora Paints
brandAlora Paints
descriptionPremium interior paint; zero VOCs, zero emissions, low odor, 100% acrylic, quick-drying
certification_statementCertified to GS-11 Ed. 4.0
certified_since2022
product_nameRoyale Luxury Emulsion Glitz Ultra Matt GM22
companyAsian Paints Limited
brandRoyale Glitz Ultra Matt

Field dictionary — nine core fields, one row per certified product (full dictionary with examples delivered with your sample)

FieldTypeDefinitionExample
product_namestringFull name of the certified product as titled in the directory.ECO SPEC® Interior – Eggshell Finish W374/Y374
companystringManufacturer or certificate holder standing behind the certification.Benjamin Moore
brandstringBrand or product line under which the product is sold.Eco Spec
categorystringProduct category in the directory taxonomy.Paints, Coatings & Adhesives
descriptiontextShort technical description shown on the product entry.Zero VOCs, zero emissions, low odor 100% acrylic interior paint.
certification_statementstringCertification line printed on the record.Certified to GS-11 Ed. 4.0
standardstringGreen Seal standard number and edition(s) the product is certified to.GS-11 Edition 4.0 Paints, Coatings, Stains, and Sealers
certified_sinceintegerYear certification was first granted; usable as an adoption-timing axis.2021
skutextComma-separated stock keeping units covered by the certificate.W37401/Y37401, W3741X/Y3741X

Additional fields available on request

Field groupNotes
leed_eligibilityLEED credit eligibility notes appear on most but not all entries; folded out of the core dictionary and confirmed against live rows when your sample is cut.
product_image_urlProduct imagery per certificate, delivered as resolved references rather than expiring signed links.
Company-level attributesAn alphabetical companies view indexes roughly 360 certified organizations; organization-level attributes ship with the sample on request.

Questions buyers ask

What is the Green Seal Certified Products Directory dataset?

A structured read of Green Seal's registry of currently certified products, focused on the Paints, Coatings & Adhesives slice relevant to building products: 28 GS-11-certified paints, coatings, stains and sealers inside a roughly 360-company certified index, each record naming manufacturer, brand, SKUs covered, standard editions and first-certification year.

What is GS-11, and why does the edition matter?

GS-11 is Green Seal's environmental standard for paints, coatings, stains and sealers, covering VOC content, prohibited carcinogens and reproductive toxins alongside performance requirements. The edition number matters because specifications cite it directly — a product certified to Edition 3.2 does not automatically satisfy a spec written against Edition 4.0, and some records hold both editions simultaneously, as the sample rows show.

Does the dataset show which LEED credits certified paints contribute to?

Yes. Most entries carry explicit eligibility notes — typically the LEED v4.0/v4.1 Low-Emitting Materials credit and the Material Ingredient Optimization credit. Notes appear on most but not every record, so the field folds out as an additional column on request and gets confirmed against live rows when your sample is cut.

How many certified products does the directory cover?

No total is published across categories, which is worth knowing before any sizing exercise. Observed scale: 28 products in the Paints, Coatings & Adhesives category spread across two listing pages, inside a companies view indexing roughly 360 certified organizations alphabetically. Ask for a sample and we return exact counts for the categories you name.

Does the data include historical or withdrawn certifications?

No. Coverage is current certifications only, each stamped with a certified-since year — 2021 and 2022 in the verified paint rows. When a product loses certification it leaves the registry without an archive trail, so first-certification years support adoption timing, while entry-and-exit tracking needs scheduled deliveries that build the history the registry does not keep.

What geography does the dataset cover?

Certified companies and their products sell primarily into the United States and Canada, reflecting where the ecolabel carries specification weight; facility listings organize through nine US region groupings plus an outside-US section. Individual products carry market flags where relevant — one observed paint is marked Canada-only — keeping availability questions answerable per row.

Can I evaluate the rows before committing to a feed?

That is what the sample is for. Request a sample of this dataset and Datadory returns records matching the field dictionary above for the categories and brands you select, with the on-request columns confirmed against live values and the column set locked before anything recurring switches on.

Who uses Green Seal certification data in building products?

Specifiers screening candidates against LEED low-emitting-materials language; coatings manufacturers benchmarking which rivals hold GS-11 and under which edition; market researchers counting certified SKUs per edition as a low-VOC adoption proxy; procurement and ESG teams verifying that a tender line's claimed certification exists down to the SKU.

See the rows before you pay anything.

Name this dataset and we send real records from it — scoped to the fields you asked for.

See pricing