{"uid":"cap_PHD2-Wj24i8vlQ91EQK5-","slug":"replenishment-timing-numeric-row-ordering-explicit-missing-value-fill-d3d3fe48","name":"Replenishment Timing — Numeric Row Ordering + Explicit Missing-Value Fill","description":"Replenishment timing — Numeric row ordering + Explicit missing-value fill: Numeric row ordering + Explicit missing-value fill for supplied replenishment timing records (lead_days, received_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-12-124?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","store_group","date","lead_days","received_units"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"lead_days":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"store_group":{"type":"string","default":"","maxLength":80},"received_units":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","lead_days":10,"store_group":"group-a","received_units":1},{"date":"2026-10-02","row_id":"row-2","lead_days":20,"store_group":"group-b","received_units":2},{"date":"2026-10-03","row_id":"row-3","lead_days":15,"store_group":"group-a","received_units":3},{"date":"2026-10-04","row_id":"row-4","lead_days":30,"store_group":"group-b","received_units":4}],"maxItems":200,"minItems":1},"field":{"enum":["lead_days","received_units"],"type":"string","default":"lead_days"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"}}},"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_eHVCJmFnlYYbzHL8XykSl","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":"Sorts replenishment timing records (lead_days, received_units) by row number and fills missing values using zero, mean, or median imputation — up to 200 rows, 2 reports per call.","exampleAgentPrompt":"I have 4 replenishment records for stores group-a and group-b from October 2026 with some missing lead_days values — can you sort them numerically by row and fill any nulls using the median method?","exampleUseCases":[{"title":"Clean missing lead times for retail stores","prompt":"I have a replenishment dataset with 50 rows across several store groups and some lead_days values are null — please sort the rows numerically and fill those missing lead_days using the median."},{"title":"Impute received units with zero fill","prompt":"My supply records have blank received_units entries for some dates in 2026. Can you order the rows by row ID and fill those missing received_units with zero across my 80 replenishment rows?"},{"title":"Prepare replenishment data for planning review","prompt":"I've got 120 replenishment timing records across multiple store groups with a mix of nulls in both lead_days and received_units — sort them by row number and fill the missing lead_days using the mean so I can review them."}],"resultDescription":"Returns up to 2 analytical reports covering the submitted replenishment rows: one with numeric row ordering applied, and one with missing values in the specified field (lead_days or received_units) filled using the chosen method (zero, mean, or median). No external lookups or predictions are performed — all computation is local to the supplied data.","failureModes":["Rows array empty or exceeds 200-item limit — validation error returned","Invalid date format (not YYYY-MM-DD) — schema validation failure","Field value out of allowed numeric range (±1,000,000,000,000) — rejected","Unknown enum value for method or field — schema rejection","Missing required fields (row_id, date, store_group) — validation error"],"whenToPreferThis":"Choose this endpoint when you need to clean and order replenishment timing datasets offline — specifically when you need numeric row sorting combined with missing-value imputation (zero, mean, or median) on lead_days or received_units fields. Ideal for small-to-medium retail datasets (up to 200 rows) where you want two analytical passes in a single low-cost call without requiring external data access or forecasting.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-31T00:43:41.117Z","isFirstParty":false,"canonicalSlug":"replenishment-timing-numeric-row-ordering-explicit-missing-value-fill-d3d3fe48"}