ecommerce-ozon-category-products

name

ecommerce.ozon-category-products

description

MPSTATS Ozon Russia category drill-down product list by Russian category path. Returns all products in a category with complete metrics: sales, revenue, price, rating, stock, turnover, lost revenue, supporting multi-dimensional numeric filters, sorting, and currency conversion. Use for category bestseller mining, blue-ocean insight discovery, category ranking analysis, brand landscape observation. Trigger when the user mentions Ozon category drill-down, Ozon category products, Ozon blue-ocean mining, Ozon category bestsellers, Ozon category ranking, Ozon subcategory structure, Ozon niche SKUs, MPSTATS category, Ozon category drill-down, Russian marketplace niche, Ozon niche mining, Ozon subcategory bestseller. Also trigger when the intent is to view all products and their sales/price/ranking performance under an Ozon category path, even without explicitly mentioning MPSTATS.

MPSTATS Ozon Category Products

This skill drills into all Ozon (Russia) products under a given Russian category path, returning each SKU's sales, revenue, price, rating, stock, turnover, lost profit, and more. Designed for category bestseller mining, blue-ocean niche discovery, and brand-landscape scanning within a specific category.

Core Concepts

Russian full-path requirement: categoryPath must be the full Russian category path as used on the Ozon platform, with levels separated by / — for example, Одежда/Женская одежда/Футболки и топы женские. A partial path, English translation, or root-only value will generally return empty results.

Where to find the path: Typical workflows resolve the path via an upstream Ozon category-search step (if available in your toolchain) or by pulling a known SKU's category field from ecommerce.ozon-product-detail / ecommerce.ozon-product-search.

Filters are AND-combined: filters carries multi-field numeric conditions, each {field, op, value, value2?}. See the Filter Reference.

Currency: Default RUB. Override with currency (USD, EUR, CNY, ...) and optionally currencyRate.

FBO / FBS: includeFbs: true folds FBS into stock / sales numbers; false keeps FBO-only.

Parameters

Parameter	Type	Required	Description
categoryPath	string	yes	Full Russian category path separated by /
startDate	string	no	Stats window start, YYYY-MM-DD; latest = yesterday
endDate	string	no	Stats window end, YYYY-MM-DD; latest = yesterday
page	integer	no	Page number, starts at 1
pageSize	integer	no	Rows per page, 1-100, default 100
sortField	string	no	snake_case column: sales, revenue, final_price, balance, rating, ...
sortDirection	string	no	asc / desc
currency	string	no	Currency code, default RUB
currencyRate	integer	no	Custom rate when non-default currency is used
includeFbs	boolean	no	Include FBS data
filters	array	no	Numeric filter list (see below)

Filter Reference

Each filters entry: {"field": "<snake_case>", "op": "<OP>", "value": <num>, "value2": <num?>}.

Common fields: sales (monthly units), final_price (price RUB), rating (0-5), comments (reviews), balance (stock), revenue (amount RUB), days_in_stock, turnover_days, lost_profit, category_position.

Operators: GTE, LTE, GT, LT, EQ, NOT_EQ, BETWEEN (requires value2).

Calling the Tool

• API Endpoint: /mpstats/ozon/categoryProducts (full parameters/responses/error codes in references/api.md)
• Python Script: python scripts/ozon_category_products.py '<JSON params>' [--inline]
• Cost constraint: This tool consumes credits. Within the same session and same parameter combination, it defaults to a single call with a 24-hour local cache. Do not automatically retry with different keywords, pagination, or parameters on failure/empty results. Inform the user of additional credit consumption before continuing retrieval.

Output strategy (script default behavior):

• Always write the full response to <cwd>/nexscope/<YYYY-MM-DD>/<session>/data/ecommerce.ozon-category-products-<timestamp>.json (<cwd> is the working directory when the script executes, which in Claude Code is the current project directory; <session> is taken from the SESSION_ID environment variable, automatically grouped by user task; do not write to /tmp; error if the current directory is not writable)
• Response body <= 8 KB: write to disk then print full JSON to stdout
• Response body > 8 KB: write to disk then print only a summary to stdout (top-level fields, common counts like total/costToken, length of the largest list field + first 3 samples)
• Add --inline to force full output to stdout (still writes to disk)

Reading data: Check the summary first to determine if it is sufficient. When specific fields are needed, use jq or ConvertFrom-Json to extract from the saved JSON file as needed, avoiding loading the entire JSON into context.

Authentication & Credits

If you encounter authentication or credit issues:

Error conditions

• API Key not configured: The NEXSCOPE_API_KEY environment variable is not set.
• HTTP 401 or 402 status code
• Insufficient credits/balance: Response message indicates credit balance exhausted, quota exceeded, subscription expired, or recharge required.

Resolution steps

1. Set the NEXSCOPE_API_KEY environment variable with a valid API key.
2. If credits are insufficient, visit https://www.nexscope.ai/pricing?co-from=skillNS to top up your balance.
3. For onboarding and setup guidance, refer to https://www.nexscope.ai/help/skills-external-access?co-from=skillNS

Usage Examples

1. Women's T-shirts — top by sales

{
  "categoryPath": "Одежда/Женская одежда/Футболки и топы женские",
  "sortField": "sales",
  "sortDirection": "desc",
  "pageSize": 100
}

2. Blue-ocean hunt (sales ≥ 50, rating ≥ 4.5)

{
  "categoryPath": "Одежда/Женская одежда/Футболки и топы женские",
  "filters": [
    {"field": "sales", "op": "GTE", "value": 50},
    {"field": "rating", "op": "GTE", "value": 4.5}
  ],
  "sortField": "revenue",
  "sortDirection": "desc"
}

3. Mid-price + strong turnover

{
  "categoryPath": "Электроника/Наушники",
  "filters": [
    {"field": "final_price", "op": "BETWEEN", "value": 1500, "value2": 5000},
    {"field": "turnover_days", "op": "LTE", "value": 30}
  ]
}

4. USD-converted ranking for cross-market comparison

{
  "categoryPath": "Электроника/Смартфоны",
  "currency": "USD",
  "sortField": "revenue",
  "sortDirection": "desc"
}

5. High lost-profit category scan

{
  "categoryPath": "Одежда/Мужская одежда/Куртки мужские",
  "filters": [{"field": "lost_profit", "op": "GTE", "value": 500000}],
  "sortField": "lost_profit",
  "sortDirection": "desc"
}

Display Rules

1. Compact category table — key columns: productId, title, brand, sellerName, price, monthlySalesUnits, monthlySalesRevenue, rating, balance, position, revenueSharePercent.
2. Revenue share = within this category query — 0-100%; clarify the basis when presenting.
3. Russian titles / brands — preserve original; translate on demand.
4. Currency labeling — state the currency; if converted, note "converted to USD".
5. Pagination — report total; for large categories (tens of thousands of SKUs) suggest tightening filters rather than naively paging through.
6. Category position — lower is better; mention this when showing categoryPosition.

Important Limitations

• Russian full path only — partial or translated paths return empty.
• Path discovery is upstream — this endpoint does not browse the category tree; resolve the path via product detail / search first.
• Page cap — max 100 rows per page.
• T-1 data — endDate cannot be today or a future date.
• No business advice — data-only view.

User Expression & Scenario Quick Reference

Applicable — Category-scoped Ozon product metrics:

User Says	Scenario
"Bestsellers in category X on Ozon"	Category bestseller mining
"Find blue-ocean SKUs in niche Y"	Blue-ocean niche scan
"Show mid-price, fast-turnover items in this category"	Multi-criteria niche filter
"Which brands dominate this Ozon category"	Brand-landscape pre-cut (then group by brand client-side)
"Huge lost-profit opportunities in category X"	Out-of-stock pain hunting

Not applicable — Needs beyond category drill-down:

• Unknown category path → use ecommerce.ozon-product-search or product detail to discover the exact Russian path
• Brand-scoped drill → ecommerce.ozon-brand-products
• Seller-scoped drill → ecommerce.ozon-seller-products
• Single-SKU time-series → ecommerce.ozon-product-trend
• Wildberries / other Russian marketplaces → not covered

Boundary judgment: Use this skill when the dimension is a category path and you want the per-SKU roll-up under it. For cross-category comparisons you must run multiple calls and fuse results at the Agent layer.