MPSTATS Ozon Seller Products

This skill drills into all Ozon (Russia) products sold by a given seller, returning per-SKU sales, revenue, price, rating, stock, turnover, lost profit, and more. Designed for store-structure audits, bestseller dissection within a shop, and head-to-head competitor-store comparison.

Core Concepts

Seller ID, not name: sellerId must be a numeric string — the sellerId field Ozon / MPSTATS uses to identify a shop. Do not pass a brand name, category path, or human-readable seller name. If you only have the seller name, resolve the ID via mpstats-ozon-product-search (seller-filtered) and read sellerId from the result.

Filters & ops: Same AND-combined numeric filter model as brand-products and category-products. See Filter Reference.

Currency: Default RUB; override with currency / currencyRate for USD / EUR / CNY views.

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

Parameters

Filter Reference

Each filters entry: {"field": "\x3Csnake_case>", "op": "\x3COP>", "value": \x3Cnum>, "value2": \x3Cnum?>}.

Common fields: sales, final_price, rating, comments, balance, revenue, days_in_stock, turnover_days, lost_profit, category_position.

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

API Usage

This tool calls the LinkFox tool gateway API. See references/api.md for calling conventions, request parameters, response structure, and error codes. You can also execute scripts/mpstats_ozon_seller_products.py directly for ad-hoc queries.

Usage Examples

1. Seller's top-100 by sales

{
  "sellerId": "3628678",
  "sortField": "sales",
  "sortDirection": "desc",
  "pageSize": 100
}

2. Store's revenue top-20

{
  "sellerId": "3628678",
  "sortField": "revenue",
  "sortDirection": "desc",
  "pageSize": 20
}

3. High-turnover star products

{
  "sellerId": "3628678",
  "filters": [
    {"field": "sales", "op": "GTE", "value": 30},
    {"field": "turnover_days", "op": "LTE", "value": 20}
  ],
  "sortField": "revenue",
  "sortDirection": "desc"
}

4. Stockout pain points for the store

{
  "sellerId": "3628678",
  "filters": [{"field": "lost_profit", "op": "GTE", "value": 100000}],
  "sortField": "lost_profit",
  "sortDirection": "desc"
}

5. USD-converted store audit

{
  "sellerId": "3628678",
  "currency": "USD",
  "sortField": "revenue",
  "sortDirection": "desc"
}

Display Rules

1. Compact store table — key columns: productId, title, brand, price, monthlySalesUnits, monthlySalesRevenue, rating, balance, turnoverDays, lostProfit, position.
2. Revenue share = within this seller query — 0-100%; clarify the base.
3. Russian titles — preserve; translate on user request.
4. Currency labeling — if converted, note "已按 USD 换算".
5. Pagination — for stores with thousands of SKUs, suggest tighter filters before paging deep.
6. No buying advice — the skill shows the store's book, not whether their SKUs are worth copying.

Important Limitations

• Numeric seller ID only — passing a seller name will not resolve; go through mpstats-ozon-product-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.
• Ozon-only — Wildberries / other Russian marketplaces are separate.

User Expression & Scenario Quick Reference

Applicable — Seller-scoped Ozon product metrics:

Not applicable — Needs beyond seller drill-down:

• Only seller name known → use mpstats-ozon-product-search to resolve the ID
• Brand-scoped drill → mpstats-ozon-brand-products
• Category-scoped drill → mpstats-ozon-category-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 specific seller and you want the per-SKU table under that shop. For "who are the top sellers in category X" you'd use category drill-down and group by seller client-side.

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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