MPSTATS Ozon Product Trend (Daily Time-Series)#

This skill returns a daily time-series of a single Ozon (Russia) SKU — sales units, price, stock, rating, and optionally search-position / visibility metrics. 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 aggregates), use mpstats-ozon-product-detail instead.

Daily granularity: The response is an array of daily points (top-level field data) across the [startDate, 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.

Search-visibility add-on: Set includeSearchStats: true to append search-position / visibility signals. Some niches (especially small categories) may not have search-stats coverage — expect partial or empty fields in those cases.

Parameters#

ParameterTypeRequiredDescriptionproductIdintegeryesOzon SKU (numeric)startDatestringnoWindow start, YYYY-MM-DD; latest = yesterdayendDatestringnoWindow end, YYYY-MM-DD; latest = yesterdayincludeFbsbooleannoInclude FBS data alongside FBOincludeSearchStatsbooleannoAttach search position / visibility signals

调用方式#

• API 端点： POST /mpstats/ozon/productTrend（完整参数/响应/错误码见 references/api.md）
• Python 脚本： python scripts/mpstats_ozon_product_trend.py '<JSON 参数>' [--inline]
• 成本约束：本工具会消耗算力；同一会话同一参数组合默认只调用一次，脚本带 24h 本地缓存。失败/空结果不得自动换关键词、翻页或改邮编连续试探；需要继续检索时先向用户说明会产生额外消耗。

输出策略（脚本默认行为）：

• 始终 将完整响应写入 <cwd>/linkfox/<YYYY-MM-DD>/<session>/data/linkfox-mpstats-ozon-product-trend-<timestamp>.json（ <cwd> 为脚本执行时的工作目录，在 Claude Code 里即当前项目目录； <session> 取自环境变量 SESSION_ID，按用户任务自动聚合； 禁止写入 /tmp，当前目录不可写则报错）
• 响应体 ≤ 8 KB：落盘后把完整 JSON 打印到 stdout
• 响应体 > 8 KB：落盘后 stdout 只输出摘要（顶层字段、常见计数如 total/ costToken、最大列表字段的长度 + 前 3 条样本）
• 加 --inline 强制全量打印到 stdout（同样落盘）

读数据建议：先看摘要判断是否足够；需要具体字段时优先用 jq 或 ConvertFrom-Json 从保存的 json 文件按需抽取，避免整份 JSON 进入上下文。

解决认证和算力问题#

发生以下异常情况时，采用 references/onboarding.md 引导解决问题：

异常情况#

• 未配置API Key：环境变量未配置 LINKFOX_AGENT_API_KEY，也未配置 LINKFOXAGENT_API_KEY。
• 响应401或402状态码
• 响应提示算力或余额不足：消息含"算力余额不足/计费不足/余额不足/quota exceeded/insufficient balance/套餐到期/需充值/请充值"，或类似含义的内容。

Usage Examples#

1. Monthly trend for a SKU

json

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

2. Trend with search visibility

json

{
  "productId": 1786874757,
  "startDate": "2025-02-01",
  "endDate": "2025-02-28",
  "includeSearchStats": true
}

3. Combined FBO+FBS trend

json

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

How to Chain with Other Ozon Skills#

1. Discovery → trend: Use mpstats-ozon-product-search to find a SKU, then check growth / volatility here before committing.
2. Aggregate vs time-series: mpstats-ozon-product-detail gives a one-number-per-metric period view; this skill shows the day-by-day shape behind those numbers.
3. Drill-down → trend: After brand-products / category-products / seller-products surfaces a hot SKU, use this skill to validate whether the hotness is recent, seasonal, or sustained.

Display Rules#

1. Prefer a simple table or sparkline-friendly output — one row per date with date, price, sales, balance, rating, comments; do not overfit a 90-point series into a single paragraph.
2. Use hasData to distinguish gaps from zero sales — hasData=false means the day has no observation; don't report it as a zero-sale day.
3. Call out anomalies — large single-day spikes or stockouts ( balance=0 runs where hasData=true) should be flagged factually, not as buying advice.
4. Currency is RUB unless upstream layer is already converting (the currency field per point carries the symbol, e.g. ₽); state the currency when showing price movement.
5. Revenue is not returned per day — if the user asks for daily revenue, estimate via sales * price and note it's an estimate.
6. includeSearchStats gaps — when no search-visibility fields come back, note "搜索位次数据在该赛道暂不可用" rather than silently omitting.
7. No business advice — present the shape; leave "should we buy this listing?" to the user.

Important Limitations#

• Single SKU per call — cannot pass a list of productId s; loop at the Agent layer if needed.
• T-1 data — endDate cannot be today or a future date.
• Search stats optional — includeSearchStats=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#

Applicable — Single-SKU temporal analysis:

User SaysScenario"What's the sales trend of Ozon SKU 1786874757 last month"Monthly time-series"Is this Ozon listing seasonal or stable"Seasonality check"Did this Ozon product have stockouts recently"Stock anomaly detection"Price walk for this Ozon product over Q1"Price movement"Did this listing's search position improve"Search visibility (requires includeSearchStats)

Not applicable — Needs beyond single-SKU time-series:

• Batch snapshot of many SKUs → mpstats-ozon-product-detail
• Brand / category / seller drill-down → matching *-products skill
• Pre-IDed discovery → mpstats-ozon-product-search

Boundary judgment: Use this skill when the question starts with "how did this ONE product change over time". For multi-SKU comparisons or dimension-level filtering, go elsewhere.

算力消耗规则#

按动态规则计费：消耗算力 = 12。列表为空返回 0

重要：本技能的服务按倍数动态计算，可能一次性消耗大量算力，必须提醒用户，由用户决定是否继续。

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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