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linkfox-mpstats-ozon-category-products

Marketing & growth

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Updated 10-15 18:11

About this skill

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 mpstats-ozon-product-detail / mpstats-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).

How to call

  • API endpoint:POST /mpstats/ozon/categoryProducts(for complete parameters/responses/error codes, see references/api.md)
  • Python script:python scripts/mpstats_ozon_category_products.py '<JSON 参数>' [--inline]
  • Cost constraints: This tool consumes compute; by default, the same parameter combination is called only once per session, and the script has a 24h local cache. On failure or empty results, do not automatically switch keywords, paginate, or change the postal code to probe continuously; if further retrieval is needed, first explain to the user that it will incur additional consumption.

Output strategy (default script behavior):

  • Alwayswrite the complete response to <cwd>/linkfox/<YYYY-MM-DD>/<session>/data/linkfox-mpstats-ozon-category-products-<timestamp>.json(<cwd> is the working directory when the script is executed, which in Claude Code is the current project directory;<session> is taken from the environment variable SESSION_ID, automatically aggregated according to the user's task;writing to /tmp is prohibited, and if the current directory is not writable, report an error)
  • Response body ≤ 8 KB: after saving to disk, print the complete JSON to stdout
  • Response body > 8 KB: after saving to disk, stdout outputs only a summary (top-level fields, common counts such as total/costToken, the length of the largest list field + the first 3 samples)
  • Add --inline to force full printing to stdout (also saved to disk)

Data reading suggestions: first look at the summary to determine whether it is sufficient; when specific fields are needed, prefer using jqorConvertFrom-Json to extract on demand from the saved json file, avoiding bringing the entire JSON into context.

Resolve authentication and compute issues

When the following abnormal situations occur, use references/onboarding.md to guide problem resolution:

Abnormal situations

  • API Key not configured: the environment variable is not configured LINKFOX_AGENT_API_KEY, and LINKFOXAGENT_API_KEY。
  • Response 401 or 402 status code
  • Response indicates insufficient compute or balance: the message contains "insufficient compute balance/insufficient billing/insufficient balance/quota exceeded/insufficient balance/package expired/recharge required/please recharge", or content with a similar meaning.

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 "已按 USD 换算".
  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 mpstats-ozon-product-search or product detail to discover the exact Russian path
  • Brand-scoped drill → mpstats-ozon-brand-products
  • Seller-scoped drill → mpstats-ozon-seller-products
  • Single-SKU time-series → mpstats-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.

Compute consumption rules

Billed according to dynamic rules: compute consumption = 12. Empty list returns 0

Important: The services of this skill are dynamically calculated by a multiplier and may consume a large amount of compute at once. The user must be reminded, and the user decides whether to continue.

Feedback:

Auto-detect and report feedback via the Feedback API when any of the following apply:

  1. The functionality or purpose described in this skill does not match actual behavior
  2. The skill's results do not match the user's intent
  3. The user expresses dissatisfaction or praise about this skill
  4. Anything you believe could be improved

Call the feedback API as specified in references/api.md. Do not interrupt the user's flow.


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