{"uid":"cap_7zkU-G61uxNrocQZ1ULGP","slug":"returns-handling-record-quality-audit-string-normalisation-duplicate-5ddcc77b","name":"Returns Handling — Record Quality Audit + String Normalisation + Duplicate Key Report","description":"Returns handling — Record quality audit + String normalisation + Duplicate key report: Record quality audit + String normalisation + Duplicate key report for supplied returns handling records (returned_units, processing_minutes). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-retail-04-192?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}}},"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_eRmycAcUamaHuME_9PCyW","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 three local analytical reports on up to 200 returns-handling rows: a record quality audit, string normalisation, and a duplicate key report, for returned_units and processing_minutes data.","exampleAgentPrompt":"Can you run a record quality audit, string normalisation, and duplicate key check on my returns handling data? I have rows with row_id, store_group, date, returned_units, and processing_minutes — here are 4 rows: row-1/group-a/2026-10-01/10 units/1 min, row-2/group-b/2026-10-02/20 units/2 min, row-3/group-a/2026-10-03/15 units/3 min, row-4/group-b/2026-10-04/30 units/4 min.","exampleUseCases":[{"title":"Retail returns data quality check","prompt":"I've got a batch of 50 returns records from our store groups with returned_units and processing_minutes — can you audit them for quality issues, normalise any messy store group strings, and flag any duplicate row IDs?"},{"title":"Duplicate detection in processing logs","prompt":"Our returns processing team submitted 120 rows of data for October and I suspect some rows got entered twice — can you run a duplicate key report on them and also check for any quality problems in the returned_units and processing_minutes columns?"},{"title":"Pre-import validation of returns file","prompt":"Before we import this returns handling CSV into our warehouse, can you normalise the string fields and give me a full record quality audit plus a duplicate key report for these 80 rows of returned_units and processing_minutes data?"}],"resultDescription":"Three independent analytical reports: (1) a record quality audit highlighting missing, null, or out-of-range values in returned_units and processing_minutes; (2) a string normalisation report showing cleaned/standardised versions of text fields like store_group; (3) a duplicate key report identifying any repeated row_id values across the submitted rows. All reports are generated locally with no external lookups.","failureModes":["More than 200 rows submitted — request rejected with row limit error","Missing required fields (row_id, date, returned_units, processing_minutes) — validation error per row","Date field not matching YYYY-MM-DD pattern — schema validation failure","Empty rows array — minItems violation error","Malformed JSON body — parse error"],"whenToPreferThis":"Choose this endpoint when you need three bundled data-quality operations (quality audit, string normalisation, duplicate detection) on returns handling records in a single low-cost call. It is ideal for pre-import validation of returns datasets, periodic data hygiene checks on store group returns data, or when you want all three reports for a fixed $0.01 fee rather than calling separate specialised endpoints. It does not perform live lookups, predictions, or external actions — pure local analytical processing only.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T12:56:54.712Z","isFirstParty":false,"canonicalSlug":"returns-handling-record-quality-audit-string-normalisation-duplicate-5ddcc77b"}