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Trust & CompanyKotn Catalogue, Size-Level Stock & Markdown Dataset
Kotn sells Egyptian-cotton essentials direct to consumers, and this file captures its US catalogue at variant level — 30 columns covering list price, final price, the discount in dollars, stock flag, colour, size, fabric detail and ratings.
The sample is an end-of-line picture: every one of the 50 rows was discounted, the deepest at 62% off, with 12 of 50 sizes already gone across four styles at $38 to $158.
The file already exists, because this pipeline runs once a month whether you buy it or not. Most vendors start collecting after you order — which is why they quote a lead time. Here the most recent file is in your account within minutes of payment, with an API key issued at the same time.
What you get, in plain terms
Four things. A direct-to-consumer basics brand, captured where the clearance actually happens.
One row per size and colour
The file is at variant level, not product level: every size and colourway of a style is its own row with its own SKU and stock flag, so you can see exactly which sizes are still buyable.
List price and final price side by side
Price is the list price, Final Price what a shopper pays and Discount the saving in dollars, so markdown depth is a subtraction, not a guess.
Ratings next to availability
Num Ratings and Average Ratings sit on the row, so a style's popularity can be read against what is left in each size.
However you want it
Direct download, REST API, Amazon S3, Google Cloud, Snowflake or SFTP. The API key comes with the dataset.
Fields included in this dataset
All 30 columns, in the exact order they appear in the file — taken straight from the sample, not from a brochure. The free sample ships with a data dictionary giving an example value for each one.
Sample rows from the real file
Real rows from the sample file, not an illustration. The supplied sample has 50 variant rows with all 30 columns.
Coverage
Captured monthly across kotn.com's US site. One row is one size-colour variant, identified by its SKU, with the style in PID.
| Metric | In the supplied sample | What it tells you |
|---|---|---|
| Variant rows | 50 across 4 styles | Tanks, flannel shirts, skirts |
| Discounted rows | 50 of 50 | Every sampled row marked down |
| Deepest cut | 62% off | Clearance-level discounting |
| Price range | $38 – $158 | Before discount |
| Out of stock | 12 of 50 size rows | Middle sizes clearing first |
| Ratings | 26 of 50 rows | Average 5.0 where present |
Only tracking a category or a set of styles? Send the list and we will price a narrower file.
Historical data
The last 30 days come with the dataset. Beyond that we hold Kotn records from February 2025 onwards.
Ask about historical dataNeed more data points?
We can extend this dataset beyond the standard 30 columns — a category path and fabric composition as fields are the most requested additions.
Request custom fields“Kotn clears stock harder than its brand image suggests. A monthly file showed us exactly how deep and how fast.”
What people use this dataset for
Retail and brand pricing teams
Benchmark list prices, markdown depth and timing against a competitor's live catalogue.
Merchandising and planning
See assortment width, size depth and what is already out of stock, category by category.
Marketplace and resale sellers
Track which styles, colours and sizes disappear first to shape your own buys.
Data and AI teams
Train product matching, attribute extraction and pricing models on clean, structured catalogue data.
About Kotn catalogue data
Kotn is a direct-to-consumer brand built on Egyptian cotton and traceable supply chains, selling wardrobe essentials online. Because it runs a narrow range deeply, size-level data tells you more about its business than a product count would.
Everything in the sample was on sale
All 50 sampled rows carried a discount, the deepest at 62%. That is clearance behaviour rather than routine promotion, and it is the kind of pattern a monthly series is built to date — when it starts, how deep it goes and which sizes clear first.
Fabric detail in the description
Description carries the cotton, weight and construction detail that justifies the price. For anyone benchmarking a basics range, that is what makes a $58 tank comparable with your own.
Two things to plan for
Category, Gender, IsOnSale, Short Description, Keywords, Manufacturer and UPC or EAN came through empty on every sampled row, so use Price against Final Price for markdowns and the product name for category. Ratings appear on 26 of 50 rows.
Is collecting this data legal?
Collecting publicly visible product and price information is generally lawful in most jurisdictions. Actowiz collects only public pages, respects robots.txt and platform terms, holds no personal data, and aligns with GDPR and CCPA. We are ISO 9001 and ISO 27001 certified, and this dataset carries documented provenance so your legal team can review the source before you buy.
Frequently asked questions
Category came through empty. We can add a category path on a custom feed, or you can derive one from the product name.
