Ecommerce Ozon Seller Products

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 ecommerce-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": "<snake_case>", "op": "<OP>", "value": <num>, "value2": <num?>}.

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).

Calling the Tool

• API Endpoint: /mpstats/ozon/sellerProducts (full parameters/responses/error codes in references/api.md)
• Python Script: python scripts/ozon_seller_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-seller-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. 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 "converted to USD".
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 ecommerce-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 ecommerce-ozon-product-search to resolve the ID
• Brand-scoped drill → ecommerce-ozon-brand-products
• Category-scoped drill → ecommerce-ozon-category-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 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.