linkfox-mpstats-ozon-product-search

name: linkfox-mpstats-ozon-product-search description: MPSTATS Ozon 俄罗斯站商品搜索与反查。按俄语关键词或 SKU 在 MPSTATS 数据库中检索 Ozon 商品，返回商品 ID、标题、品牌和卖家信息，是 Ozon 选品与竞品链路的起点。当用户提到 Ozon 选品、Ozon 商品搜索、俄罗斯电商选品、Ozon 关键词搜索、Ozon SKU 查询、MPSTATS Ozon、Ozon product search, MPSTATS Ozon, Russian marketplace, Ozon SKU lookup, Ozon keyword search 时触发此技能。即使用户未明确提到"MPSTATS"，只要其意图是在 Ozon 俄罗斯站按关键词或 SKU 发现或反查商品，也应触发此技能。

MPSTATS Ozon Product Search

This skill searches Ozon (Russia) products in the MPSTATS analytics database by Russian keyword or SKU list. It is the entry point for Ozon product discovery and competitor lookup — downstream drill-downs (brand/category/seller/detail/trend) typically start from the IDs returned here.

Core Concepts

MPSTATS Ozon coverage: Ozon is Russia's largest general-category marketplace. MPSTATS indexes Ozon product listings and sales history. This endpoint returns the basic identity card only — 10 fields: productId / title / productPageUrl / imageUrl / brand / brandId / sellerName / sellerId plus sourceType / sourceTool. Per-SKU price / sales / rating / stock / turnover / ranking are not returned here — the backend OzonProductSearchItem DTO is intentionally narrow. For those metrics, chain into mpstats-ozon-product-detail (batch full card, 36 fields) or the brand/category/seller-products drill-downs (39 fields).

Language requirement: Keywords must be in Russian (Cyrillic) — or the Latin-script form actually used on the Ozon storefront. If the user supplies an English or Chinese keyword, translate it to Russian first and note the translation.

At-least-one input rule: The input schema marks both filters as optional, but the tool's business rule requires at least one of keyword / productIds to be supplied. The two can be combined to narrow results. For brand- or seller-scoped discovery, use mpstats-ozon-brand-products / mpstats-ozon-seller-products instead.

Parameters

At least one of keyword / productIds must be supplied. The endpoint returns at most ~36 records in a single call (an upstream-acknowledged cap), and there are no pagination / sort / filter inputs — narrow via keyword/SKU and date window instead.

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_product_search.py directly for ad-hoc queries.

Usage Examples

1. Keyword search — sneakers in Russian

{"keyword": "кроссовки"}

2. SKU batch reverse lookup

{"productIds": [1786874757, 151623766, 142257239]}

3. Dated window for period-specific search

{"keyword": "футболка", "startDate": "2025-02-01", "endDate": "2025-02-28"}

How to Chain with Other Ozon Skills

1. Keyword → drill-down: Search → pick productId → call mpstats-ozon-product-detail (batch metrics) or mpstats-ozon-product-trend (single-SKU time-series).
2. Brand drill-down: For brand-scoped product listings with full metrics, call mpstats-ozon-brand-products directly with the brand display name.
3. Seller drill-down: For seller-scoped product listings with full metrics, call mpstats-ozon-seller-products directly with the seller ID.

Display Rules

1. Lead with identity columns — this endpoint returns only 10 identity fields. Headline the table with productId, title, brand, sellerName; include productPageUrl / imageUrl as secondary columns. Do not add price / sales / rating / stock columns — they are not in the response.
2. Russian titles — preserve the original Russian title; optionally offer an English or Chinese translation on user request.
3. Result count — the endpoint returns at most ~36 records and has no pagination. If total exceeds what was returned, suggest narrowing the keyword/SKU set or date window rather than asking for more pages.
4. Route to drill-downs for any business metric — business metrics are never in this response. If the user asks for sales / price / rating / stock / turnover / ranking, always route to mpstats-ozon-product-detail (single or batch) or the *-products drill-downs. Do not fabricate or estimate from identity fields.
5. Error handling — when code / errcode is non-200, explain the reason from msg / errmsg and suggest adjusting inputs (supply at least one of keyword / productIds, use Russian, narrow date range).

Important Limitations

• At least one of keyword / productIds required — empty payloads are rejected by the tool's business rule even though required is empty in inputSchema.
• Russian / Latin only — non-Russian keywords generally return empty results.
• Date range — endDate cannot be today or a future date; data is T-1.
• Hard result cap — upstream returns at most ~36 records per call and exposes no pagination/sort/filter. Cannot be bypassed; narrow the query instead.
• No business metrics — price / sales / rating / stock / turnover / ranking are not in this endpoint's response at all. The backend OzonProductSearchItem DTO declares exactly 10 identity fields. This is a hard contract, not a sparse payload — do not assume missing metric fields could be filled in by re-calling with different dates.

User Expression & Scenario Quick Reference

Applicable — Ozon product discovery / identity resolution:

Not applicable — Needs beyond discovery:

• Reliable per-SKU sales / revenue / stock / rating metrics → use mpstats-ozon-product-detail (batch card) or the *-products drill-down skills.
• Brand-scoped product listing → use mpstats-ozon-brand-products directly.
• Seller-scoped product listing → use mpstats-ozon-seller-products directly.
• Time-series trend for a single SKU → use mpstats-ozon-product-trend.
• Wildberries or other non-Ozon Russian marketplaces → not covered here.
• Category-tree navigation / Russian category path lookup → use mpstats-ozon-category-products with a known path.

Boundary judgment: If the user wants to find or identify Ozon products, start here. If they already have an ID or a dimension (brand / category / seller) and want metrics under it, go to the corresponding drill-down skill directly.

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.

Handling Large Responses

To avoid overflowing the agent context, persist the response to disk and extract only the fields you need:

python scripts/response_io.py run --script scripts/mpstats_ozon_product_search.py --out-dir <DIR> '<params>'
python scripts/response_io.py read <file> --fields "<paths>"   # or --path "<JMESPath>"

Pick --out-dir outside any git working tree (e.g. /tmp/... on Unix, %TEMP%/... on Windows). Persisted responses may contain PII, pricing, or auth-sensitive data — do not commit them. Files are not auto-deleted; clean up when the task is done.

run writes the full response to a file and emits only a schema preview + file path. read projects specific fields, with --limit/--offset for slicing and --format json|jsonl|csv|table for output.

When to prefer this pattern — apply your judgment based on the response characteristics, e.g.:

• High field count per record, or fields you don't need
• Batch/paginated results (multiple items per call)
• Long-text fields (descriptions, reviews, HTML, time series)
• Output reused across later steps rather than consumed immediately

For small, single-use responses, calling the main script directly is fine.

⚠️ The preview is a truncated schema + sample, not the full data. Any field-level decision must read from the persisted file via read.

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