{"uid":"cap_WQRnPxFXapCDxatGz2bJg","slug":"damaged-stock-numeric-distribution-and-trailing-mean-series-analyzer-0b600284","name":"Damaged Stock Numeric Distribution and Trailing Mean Series Analyzer","description":"Damaged stock — Numeric distribution + Trailing mean series: Numeric distribution + Trailing mean series for supplied damaged stock records (handled_units, damaged_units). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-retail-18-076?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","store_group","date","handled_units","damaged_units"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"store_group":{"type":"string","default":"","maxLength":80},"damaged_units":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"handled_units":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","store_group":"group-a","damaged_units":1,"handled_units":10},{"date":"2026-10-02","row_id":"row-2","store_group":"group-b","damaged_units":2,"handled_units":20},{"date":"2026-10-03","row_id":"row-3","store_group":"group-a","damaged_units":3,"handled_units":15},{"date":"2026-10-04","row_id":"row-4","store_group":"group-b","damaged_units":4,"handled_units":30}],"maxItems":200,"minItems":1},"field":{"enum":["handled_units","damaged_units"],"type":"string","default":"handled_units"},"window":{"type":"integer","default":2,"maximum":200,"minimum":2}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.01","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.01/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_0rU5Pkx2OFmaszq7FqpLx","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Computes numeric distribution statistics and a trailing mean time series for supplied damaged stock records (handled_units and damaged_units) across up to 200 rows.","exampleAgentPrompt":"Can you run a numeric distribution report and a trailing mean series (window size 7) on my damaged stock records for the last month? I have up to 150 rows with handled_units and damaged_units per store group and date — I want the analysis on the damaged_units field.","exampleUseCases":[{"title":"Retail chain damage rate analysis","prompt":"I have 120 rows of daily stock handling data across three store groups from the past quarter — can you calculate a numeric distribution and a rolling mean with window 14 for damaged_units so I can see how damage rates are spread and trending?"},{"title":"Warehouse monthly trailing mean review","prompt":"Run a trailing mean series with a window of 7 on my handled_units data for October — I've got about 80 rows with dates, store groups, and unit counts and I want to see the smoothed trend over time."},{"title":"Damaged inventory statistical summary","prompt":"I want to understand the distribution of damaged_units across my 60-row dataset of store group records from last month — can you produce a numeric distribution report alongside a trailing mean series using a window of 4?"}],"resultDescription":"Two independent analytical reports for the supplied dataset: (1) a numeric distribution summary of the selected field (handled_units or damaged_units), and (2) a trailing mean time series computed over the specified rolling window — both derived entirely from the submitted rows with no external data or predictions.","failureModes":["Fewer than 1 row submitted — minimum row count not met","More than 200 rows submitted — exceeds maximum row limit","Missing required fields (row_id, store_group, date, handled_units, damaged_units) — validation error","Date field not matching YYYY-MM-DD format — pattern validation failure","Window size outside 2–200 range — parameter validation error","Null values in numeric fields may affect distribution or mean calculations"],"whenToPreferThis":"Choose this endpoint when you have raw damaged stock records (handled_units, damaged_units) and need both a distribution overview and a smoothed rolling mean trend in a single low-cost call. Ideal for retail or warehouse analysts who want offline, self-contained statistical summaries without any external lookup, live data, or prediction — especially when working with datasets of up to 200 rows at minimal cost ($0.01 USDC for both reports).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:33:56.898Z","isFirstParty":false,"canonicalSlug":"damaged-stock-numeric-distribution-and-trailing-mean-series-analyzer-0b600284"}