{"uid":"cap_BtOzftOp5jmmwjZ6l3hTa","slug":"returns-handling-analytics-string-normalisation-daily-sum-series-050b3562","name":"Returns Handling Analytics — String Normalisation & Daily Sum Series","description":"Returns handling — String normalisation + Daily sum series: String normalisation + 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-04-027?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_0vrpQ3gJ_ur5Y3tpxz7U_","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":"Runs two local analytical reports on retail returns data: string normalisation of store/group labels and a daily sum time series for returned_units or processing_minutes (up to 200 rows).","exampleAgentPrompt":"I have up to 200 rows of returns handling records with row IDs, store groups, dates, returned_units, and processing_minutes — can you normalize the store group strings and give me a daily sum series for returned_units across all those rows?","exampleUseCases":[{"title":"Daily returns volume trend by store","prompt":"Here are 150 rows of our returns data with dates, store groups, and returned_units — can you normalize the store group names and build me a daily sum series for returned_units so I can see our return volume trend over time?"},{"title":"Processing time aggregation for ops review","prompt":"I've got a returns handling log with 80 records including date, store_group, and processing_minutes — please normalize the store labels and give me a daily total of processing_minutes so I can review operational throughput day by day."},{"title":"Cleaning mixed-case group labels for reporting","prompt":"Our returns export has inconsistent capitalization in the store_group field across 60 rows — run string normalization on those labels and also give me the daily sum series for returned_units so I can feed clean data into our weekly report."}],"resultDescription":"Two analytical reports: (1) a string-normalized version of the store_group labels from the submitted rows, and (2) a daily sum time series for the selected numeric field (returned_units or processing_minutes), aggregating values by date across all submitted rows. Both reports are computed locally with no external lookups.","failureModes":["Fewer than 1 row submitted returns a validation error","More than 200 rows submitted exceeds the row limit and is rejected","Invalid date format (not YYYY-MM-DD) causes schema validation failure","Null values in the selected numeric field may affect sum accuracy","Unrecognized field enum value causes rejection","Missing required fields (row_id, date, store_group) cause per-row errors"],"whenToPreferThis":"Choose this endpoint when you need both string normalization of retail store/group label fields AND a daily sum time series for returns metrics in a single low-cost call. It is ideal for small-to-medium datasets (up to 200 rows) where you want offline, deterministic computation with no external data dependencies. It is not suitable for real-time lookups, predictive analytics, or datasets exceeding 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T12:49:55.112Z","isFirstParty":false,"canonicalSlug":"returns-handling-analytics-string-normalisation-daily-sum-series-050b3562"}