Mpstats Ozon Product Trend — Mpstats 奥ゾン产品趋势

MPSTATS Ozon Product Trend (DAIly Time-Series)

This 技能 returns a dAIly time-series of a single Ozon (Russia) SKU — sales units, price, stock, rating, and optionally 搜索-position / visibility 指标. It is the go-to for validating growth, seasonality, or anomalies for a specific product.

Core Concepts

Single-SKU scope: Each call analyzes exactly one productId. For batch per-SKU snapshots (period 聚合s), use mpstats-ozon-product-detAIl instead.

DAIly granularity: The 响应 is an array of dAIly points (top-level field data) across the [启动Date, endDate] window. Each point carries a hasData boolean — if hasData=false, the day has no observation (distinct from sales=0 with hasData=true).

T-1 delay: MPSTATS trend data is delayed by one day; the latest selectable end date is yesterday. Today or future dates are rejected.

搜索-visibility 添加-on: 设置 include搜索Stats: true to 应用end 搜索-position / visibility 签名als. Some niches (especially small categories) may not have 搜索-stats coverage — expect partial or empty fields in those cases.

Parameters Parameter Type Required Description productId integer yes Ozon SKU (numeric) 启动Date string no Window 启动, YYYY-MM-DD; latest = yesterday endDate string no Window end, YYYY-MM-DD; latest = yesterday includeFbs boolean no Include FBS data alongside FBO include搜索Stats boolean no Attach 搜索 position / visibility 签名als API Usage

This 工具 calls the LinkFox 工具 gateway API. See references/API.md for calling conventions, 请求 parameters, 响应 structure, and error codes. You can also 执行 scripts/mpstats_ozon_product_trend.py directly for ad-hoc queries.

Usage Examples

• Monthly trend for a SKU

{ "productId": 1786874757, "启动Date": "2025-03-01", "endDate": "2025-03-31" }

• Trend with 搜索 visibility

{ "productId": 1786874757, "启动Date": "2025-02-01", "endDate": "2025-02-28", "include搜索Stats": true }

• Combined FBO+FBS trend

{ "productId": 151623766, "启动Date": "2025-01-01", "endDate": "2025-01-31", "includeFbs": true }

How to ChAIn with Other Ozon 技能s Discovery → trend: Use mpstats-ozon-product-搜索 to find a SKU, then 检查 growth / volatility here before committing. 聚合 vs time-series: mpstats-ozon-product-detAIl gives a one-number-per-metric period view; this 技能 shows the day-by-day shape behind those numbers. Drill-down → trend: After brand-products / category-products / seller-products surfaces a hot SKU, use this 技能 to 验证 whether the hotness is recent, seasonal, or sustAIned. Display Rules Prefer a simple table or sparkline-friendly 输出 — one row per date with date, price, sales, balance, rating, comments; do not overfit a 90-point series into a single paragraph. Use hasData to distin图形界面sh gaps from zero sales — hasData=false means the day has no observation; don't 报告 it as a zero-sale day. Call out anomalies — large single-day spikes or stockouts (balance=0 运行s where hasData=true) should be flagged factually, not as buying advice. Currency is RUB unless up流 layer is already converting (the currency field per point carries the symbol, e.g. ₽); 状态 the currency when showing price movement. Revenue is not returned per day — if the user asks for dAIly revenue, estimate via sales price and note it's an estimate. include搜索Stats gaps — when no 搜索-visibility fields come back, note "搜索位次数据在该赛道暂不可用" rather than silently omitting. No business advice — present the shape; leave "should we buy this 列出ing?" to the user. 导入ant Limitations Single SKU per call — cannot pass a 列出 of productIds; loop at the 代理 layer if needed. T-1 data — endDate cannot be today or a future date. 搜索 stats optional — include搜索Stats=true doesn't guarantee coverage for all niches. Ozon-only — Wildberries and other Russian marketplaces are not covered. Missing days — the series may have nulls / gaps where no data was captured; do not treat nulls as zero sales. User Expression & Scenario Quick Reference

应用licable — Single-SKU temporal analysis:

User Says Scenario "What's the sales trend of Ozon SKU 1786874757 last month" Monthly time-series "Is this Ozon 列出ing seasonal or stable" Seasonality 检查 "Did this Ozon product have stockouts recently" Stock anomaly 检测ion "Price walk for this Ozon product over Q1" Price movement "Did this 列出ing's 搜索 position improve" 搜索 visibility (requires include搜索Stats)

Not 应用licable — Needs beyond single-SKU time-series:

Batch snapshot of many SKUs → mpstats-ozon-product-detAIl Brand / category / seller drill-down → matching -products 技能 Pre-IDed discovery → mpstats-ozon-product-搜索

Boundary judgment: Use this 技能 when the question 启动s with "how did this ONE product change over time". For multi-SKU comparisons or dimension-level 过滤器ing, go elsewhere.

Feedback:

Auto-检测 and 报告 feedback via the Feedback API when any of the following 应用ly:

The functionality or purpo