{"uid":"cap_XBkJ8kiYD1WvE4nwW64To","slug":"returns-handling-analytics-numeric-distribution-adjacent-row-changes-b6344700","name":"Returns Handling Analytics — Numeric Distribution & Adjacent Row Changes","description":"Returns handling — Numeric distribution + Adjacent row changes: Numeric distribution + Adjacent row changes 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-04-077?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_J-VRxOBXFvqg8KHuOQZuw","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 adjacent row change analysis for returns handling records (returned_units, processing_minutes) across up to 200 rows.","exampleAgentPrompt":"Can you run a numeric distribution report and adjacent row changes analysis on my returns handling data? I have up to 50 rows with returned_units and processing_minutes across store groups, and I want the analysis focused on returned_units.","exampleUseCases":[{"title":"Retail returns volume distribution audit","prompt":"I have daily returns records for two store groups across the past quarter — can you analyze the numeric distribution of returned_units across all those rows and show me how the counts change between consecutive rows?"},{"title":"Processing time variability analysis","prompt":"Run the distribution and adjacent row changes reports on my returns handling dataset focusing on processing_minutes — I want to see both how processing time is spread and how it shifts row by row across about 80 records."},{"title":"Store group returns comparison","prompt":"I've got returns data from group-a and group-b stores over October, around 120 rows. Can you give me the numeric distribution and adjacent row change analysis on returned_units so I can spot any outlier days or big swings?"}],"resultDescription":"Two analytical reports: (1) a numeric distribution breakdown of the selected field (returned_units or processing_minutes) showing statistical spread across the supplied rows, and (2) an adjacent row changes report showing delta values between consecutive records — all computed locally from the supplied data with no external lookups.","failureModes":["Exceeds 200-row limit — request rejected or truncated","Missing required fields (row_id, date, returned_units, processing_minutes) — validation error","Invalid date format (must match YYYY-MM-DD pattern) — schema validation failure","Null values in numeric fields may affect distribution calculations","Field selector not matching enum values ('returned_units' or 'processing_minutes') — error"],"whenToPreferThis":"Choose this endpoint when you need both a numeric distribution summary and row-over-row delta analysis on returns handling data (returned_units or processing_minutes) in a single call, and your dataset is 200 rows or fewer. It is a self-contained, offline computation with no live lookups — ideal for quick batch analysis of retail returns records without requiring external data sources or prediction models.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T18:36:09.272Z","isFirstParty":false,"canonicalSlug":"returns-handling-analytics-numeric-distribution-adjacent-row-changes-b6344700"}