MPSTATS marketplace analytics API. Use when working with MPSTATS API, Wildberries analytics, Ozon analytics, Yandex Market analytics, marketplace data, product research, sales analytics, competitor analysis, niche research, SKU analysis, seller analytics, brand analytics.

MPSTATS API MPSTATS is a Russian marketplace analytics platform with data on Wildberries, Ozon, and Yandex Market: product research, category analysis, seller/brand monitoring, SKU level sales, stock, and review data. Work through the ready made shell scripts in scripts/ — call them via the Bash tool instead of writing HTTP code. Reference files in references/ are API contracts only. Token setup Scripts auto load the token from config/.env via scripts/common.sh . A per command MPSTATS TOKEN env var overrides the file. Setup and where to get the token: config/README.md . If the token is missing, offer the user exactly 2 options before continuing: 1. User sends the token in chat → agent creates config/.env itself. 2. User runs locally: cp config/.env.example config/.env and pastes the token into config/.env . Token page: https://mpstats.io/userpanel (API token block). Requires an active MPSTATS subscription. References API contracts (endpoints, params, response semantics) — read on demand: references/auth.md — base URL, auth headers, response codes, rate limits references/pagination filter sort.md — common request/response model for all POST endpoints references/wb categories.md , references/wb brands sellers.md , references/wb similar sku.md — Wildberries references/ozon categories.md , references/ozon brands sellers sku.md — Ozon references/ym categories.md — Yandex Market references/account.md — API limits references/coverage.md — what is wrapped by scripts vs. still uncovered references/presentation.md — how to format analytical answers and brand styled HTML/PDF reports Result formatting Lead with a concise conclusion, then evidence. Use compact tables for multi entity results, charts for trends/segmentation/comparisons. Don't dump raw JSON unless asked — interpret what the numbers mean for the decision. For HTML/PDF reports follow the MPSTATS brand style in references/presentation.md . Sanity check — flag anomalies, never report blindly MPSTATS data can contain outliers, seller errors, unit mismatches, and stale rows. Reporting them as fact misleads the user. Before presenting any number, sanity check its magnitude. Flag explicitly when you see: Price far outside the category norm — e.g. napkins at 500 000 ₽ per item, a phone case at 50 ₽, a refrigerator at 200 ₽. Compare to the category median; if it's roughly 10× off, it is almost certainly a seller side price error, a unit mismatch (pack vs piece), or a placeholder. Implausible volumes — a small seller suddenly at 1 000 000 units/month; revenue without sales; revenue ≠ approximately price × units . Zero / null / negative values where they shouldn't be — rating 0 on a SKU with reviews, stock = 5, "0 days since last sale" on an obviously inactive SKU. Date / period weirdness — requested period ≠ returned period, gaps in by date series, future dated rows. Unit mismatches — price per pack treated as price per piece; m² vs piece; liters vs ml. How to flag, in this order: 1. Show the anomalous row clearly, with the value called out (e.g. "500 000 ₽ за упаковку — похоже на ошибку ценника продавца"). 2. State your best guess at the cause (unit mismatch, seller error, stale data, placeholder). 3. Either drop the row from aggregates (and say you did) or note that aggregates are skewed by it. 4. Continue the analysis on cleaned data. Do NOT silently drop or "round" anomalies. Do NOT report them as if they were real and let the user spot the absurdity. The conclusion must rely on cleaned data; the raw outlier is mentioned for transparency. Scripts Ready to use shell scripts in scripts/ . Call via the Bash tool, do not rewrite HTTP. Full catalog with per script use cases and routing guidance: scripts/README.md . Run any script with help for parameters. Script Purpose Usage account/account limits.sh Check API quota remaining ./scripts/account/account limits.sh wb/wb categories list.sh Full WB category tree ./scripts/wb/wb categories list.sh wb/wb category.sh WB category products ./scripts/wb/wb category.sh "Электроника/Смартфоны" 2024 01 01 2024 03 01 wb/wb category stats.sh WB category breakdown (subcategories/brands/sellers/trends) ./scripts/wb/wb category stats.sh "Электроника" subcategories wb/wb sku.sh WB SKU analytics (full/sales/balance/keywords/comments) ./scripts/wb/wb sku.sh 152490541 sales wb/wb card content.sh WB card content (description, characteristics, dimensions) — uses WB CDN, not MPSTATS ./scripts/wb/wb card content.sh 290784358 .description wb/wb brand.sh WB brand products or analytics ./scripts/wb/wb brand.sh "Nike" products wb/wb seller.sh WB seller products or analytics ./scripts/wb/wb seller.sh 123456 products wb/wb search.sh WB subjects/niches list for research ./scripts/wb/wb search.sh wb/wb subject.sh WB subject endpoints ( products , categories , brands , sellers , trends , by date , price segmentation , keywords , similar , geography , warehouses ) ./scripts/wb/wb subject.sh 70 products wb/wb similar.sh WB similar families ( identical , identical wb , similar , in similar ) ./scripts/wb/wb similar.sh similar 72124874 products wb/wb analytics.sh WB AI forecasts and season effects ./scripts/wb/wb analytics.sh category forecast/daily "Женщинам/Платья и сарафаны" wb/wb warehouses.sh WB warehouse distribution for brand/seller ./scripts/wb/wb warehouses.sh brand "Mango" wb/wb compare.sh WB period compare for category/brand/seller/subject ./scripts/wb/wb compare.sh subject 70 2024 01 01 2024 01 15 2024 01 16 2024 01 31 ozon/ozon categories list.sh Full Ozon category tree ./scripts/ozon/ozon categories list.sh ozon/ozon category.sh Ozon category products or stats ./scripts/ozon/ozon category.sh "Автотовары" products ozon/ozon sku.sh Ozon SKU reports ( sales , by day , balance , categories , keywords , full , by period , search stats , stores , comments ) ./scripts/ozon/ozon sku.sh 123456789 keywords 2023 11 27 2023 12 26 ozon/ozon brand.sh Ozon brand products or analytics ./scripts/ozon/ozon brand.sh "Samsung" categories ozon/ozon seller.sh Ozon seller products or analytics by seller id or name ./scripts/ozon/ozon seller.sh 987654 products ozon/ozon compare.sh Ozon period compare for category/brand/seller ./scripts/ozon/ozon compare.sh category "Автотовары/..." 2024 01 01 2024 01 15 2024 01 16 2024 01 31 ym/ym category.sh Yandex Market category products or stats ./scripts/ym/ym category.sh "Электроника/Смартфоны" ym/ym brand.sh Yandex Market brand products or analytics ./scripts/ym/ym brand.sh "Samsung" categories ym/ym seller.sh Yandex Market seller products or analytics ./scripts/ym/ym seller.sh "Эльдорадо" products ym/ym sku.sh Yandex Market item sales history with optional dates ./scripts/ym/ym sku.sh 12345678 2024 01 01 2024 01 31 ym/ym compare.sh Yandex Market period compare for category/brand/seller ./scripts/ym/ym compare.sh category "Электроника/Смартфоны" 2024 01 01 2024 01 15 2024 01 16 2024 01 31 request.sh Universal raw API caller for any MPSTATS method/path ./scripts/request.sh POST subject/items 'path=70&d1=2024 01 01&d2=2024 01 31'