{"uid":"cap_ZCPvpkz5Px7CBfRCIbAFD","slug":"returns-handling-analytics-grouped-summary-daily-sum-series-dc345fe6","name":"Returns Handling Analytics — Grouped Summary & Daily Sum Series","description":"Returns handling — Grouped numeric summary + Daily sum series: Grouped numeric summary + Daily sum series for supplied returns handling records (returned_units, processing_minutes). 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-04-089?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","store_group","date","returned_units","processing_minutes"],"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},"returned_units":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"processing_minutes":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","store_group":"group-a","returned_units":10,"processing_minutes":1},{"date":"2026-10-02","row_id":"row-2","store_group":"group-b","returned_units":20,"processing_minutes":2},{"date":"2026-10-03","row_id":"row-3","store_group":"group-a","returned_units":15,"processing_minutes":3},{"date":"2026-10-04","row_id":"row-4","store_group":"group-b","returned_units":30,"processing_minutes":4}],"maxItems":200,"minItems":1},"field":{"enum":["returned_units","processing_minutes"],"type":"string","default":"returned_units"}}},"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_jXmFiDbZsQj1mXaK7Hdwf","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 a grouped numeric summary and a daily sum time series for returns handling data (returned_units, processing_minutes) across up to 200 rows.","exampleAgentPrompt":"Can you run two reports on my returns handling data — a grouped numeric summary and a daily sum series for returned_units — across these store groups and dates? I have about 50 rows with store_group, date, returned_units, and processing_minutes.","exampleUseCases":[{"title":"Weekly returns review by store group","prompt":"I have 120 rows of returns data for last week with store_group, date, returned_units, and processing_minutes. Can you give me a grouped numeric summary and a daily sum series for returned_units so I can see which groups are returning the most?"},{"title":"Processing time analysis across fulfillment centers","prompt":"Run a grouped summary and daily sum series on this dataset of 80 returns records — the field I care about is processing_minutes. I want to see total processing time by store group and how it trends day by day."},{"title":"Retail returns dashboard data prep","prompt":"I need to prep two analytics reports from my returns handling records — a grouped numeric summary and a daily sum breakdown — for the returned_units field. There are 200 rows covering multiple store groups and dates across October."}],"resultDescription":"Returns two independent reports computed locally on the supplied data: (1) a grouped numeric summary breaking down the selected metric (returned_units or processing_minutes) by store_group, and (2) a daily sum series showing the total of the selected metric for each date. No external data or predictions are included.","failureModes":["More than 200 rows submitted — API rejects input exceeding the maxItems limit","Missing required fields (row_id, store_group, date, returned_units, processing_minutes) — validation error","Invalid date format (not YYYY-MM-DD) — schema pattern mismatch rejection","Invalid field enum value (not 'returned_units' or 'processing_minutes') — request rejected","Payment not included or insufficient — x402 payment required error"],"whenToPreferThis":"Choose this endpoint when you need both a grouped aggregate summary and a daily time-series breakdown for retail returns handling data in a single call. Ideal for small-to-medium datasets (up to 200 rows) where you want offline, local analytical computation without any live lookup or external data enrichment. Best suited for retail operations teams analyzing returned_units or processing_minutes across store groups.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T12:54:25.311Z","isFirstParty":false,"canonicalSlug":"returns-handling-analytics-grouped-summary-daily-sum-series-dc345fe6"}