{"uid":"cap_Y-1EZCS6Yn4D_HoU5cVVg","slug":"replenishment-timing-grouped-numeric-summary-numeric-row-ordering-f889b552","name":"Replenishment Timing — Grouped Numeric Summary + Numeric Row Ordering","description":"Replenishment timing — Grouped numeric summary + Numeric row ordering: Grouped numeric summary + Numeric row ordering 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-12-087?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"}}},"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_pRStBuFVBTQ_KWzKp1CzA","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 grouped numeric summaries and numeric row ordering for replenishment timing records (lead_days, received_units) across store groups, returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"Can you run a grouped numeric summary and numeric row ordering on my replenishment timing data? I have records with lead_days and received_units across store groups — here are up to 200 rows, and I want to summarize by lead_days.","exampleUseCases":[{"title":"Compare lead times across store groups","prompt":"I have 150 replenishment records with store_group, date, lead_days, and received_units. Can you group them and give me a numeric summary of lead_days for each store group, plus rank the rows by lead_days?"},{"title":"Rank stores by units received","prompt":"Here are my replenishment records for the past quarter — each has a row_id, store_group, date, lead_days, and received_units. Please summarize received_units by store group and order all rows numerically by received_units."},{"title":"Audit replenishment timing for two regions","prompt":"I need two reports on this replenishment dataset: a grouped numeric summary and a ranked ordering, both focused on the lead_days field. I have about 80 rows covering two store groups — can you process them?"}],"resultDescription":"Returns two analytical reports: (1) a grouped numeric summary showing aggregate statistics (e.g. count, min, max, mean) of the selected field (lead_days or received_units) broken down by store_group, and (2) a numeric row ordering ranking all submitted rows by the selected field value. Both reports are computed locally from the supplied data with no external lookups.","failureModes":["Rows array exceeds 200 items — request rejected","Invalid date format (not YYYY-MM-DD) — validation error","row_id missing or empty — schema validation failure","Numeric field values outside allowed range (±1,000,000,000,000) — rejected","field enum value not 'lead_days' or 'received_units' — invalid input","Empty rows array — minimum 1 row required"],"whenToPreferThis":"Choose this endpoint when you have replenishment timing records with lead_days and received_units fields and need both a grouped aggregate summary by store_group and a numerically ordered ranking of rows in a single low-cost call ($0.01 USDC). It is ideal for offline/batch analytical workflows on supplied data (up to 200 rows) where no live data lookup or prediction is needed. Prefer alternatives if you need forecasting, external data enrichment, or more than 200 rows processed at once.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T12:49:14.275Z","isFirstParty":false,"canonicalSlug":"replenishment-timing-grouped-numeric-summary-numeric-row-ordering-f889b552"}