{"uid":"cap_gTQguFXdOe2FOreYhjA2y","slug":"damaged-stock-exact-row-deduplication-numeric-row-ordering-6a78b33d","name":"Damaged Stock — Exact Row Deduplication + Numeric Row Ordering","description":"Damaged stock — Exact row deduplication + Numeric row ordering: Exact row deduplication + Numeric row ordering for supplied damaged stock records (handled_units, damaged_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-18-042?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","store_group","date","handled_units","damaged_units"],"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},"damaged_units":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"handled_units":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","store_group":"group-a","damaged_units":1,"handled_units":10},{"date":"2026-10-02","row_id":"row-2","store_group":"group-b","damaged_units":2,"handled_units":20},{"date":"2026-10-03","row_id":"row-3","store_group":"group-a","damaged_units":3,"handled_units":15},{"date":"2026-10-04","row_id":"row-4","store_group":"group-b","damaged_units":4,"handled_units":30}],"maxItems":200,"minItems":1},"field":{"enum":["handled_units","damaged_units"],"type":"string","default":"handled_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_lqdAJTOV-nRXb8ddnZx87","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":"Deduplicates and numerically orders supplied damaged stock records (handled_units, damaged_units) across up to 200 rows, producing 2 local analytical reports per call.","exampleAgentPrompt":"I have a list of up to 50 damaged stock records for our store groups — each row has a row_id, store_group, date, handled_units, and damaged_units — can you deduplicate them exactly and sort them by damaged_units numerically, and give me 2 clean reports?","exampleUseCases":[{"title":"Retail warehouse damage deduplication","prompt":"I've got 80 rows of damaged stock data from our warehouse groups — row_id, store_group, date, handled_units, and damaged_units — please remove any exact duplicate rows and order everything by handled_units numerically, then give me the two reports."},{"title":"Multi-store damaged units audit","prompt":"Can you take these 120 damaged stock records across our store groups and run exact row deduplication plus a numeric ordering on damaged_units? I need both reports to check data quality before our monthly review."},{"title":"Daily damaged goods data cleanup","prompt":"Here are today's damaged stock entries — about 40 rows with row_id, store_group, date, handled_units, and damaged_units — please deduplicate them exactly and give me both reports sorted by handled_units so I can spot any anomalies."}],"resultDescription":"Two local analytical reports covering: (1) exact row deduplication results identifying and removing fully duplicate rows from the input dataset, and (2) numeric row ordering of the specified field (handled_units or damaged_units) across up to 200 input rows. No external lookups or predictions are performed; all processing is local.","failureModes":["Input array exceeds 200 rows — request will be rejected or truncated","Missing required fields (row_id, store_group, date, handled_units, damaged_units) cause row-level errors","Invalid date format (non YYYY-MM-DD) fails schema validation","Numeric values outside ±1,000,000,000,000 range rejected","Empty rows array returns no report output","Invalid field enum value (not handled_units or damaged_units) causes field selector error"],"whenToPreferThis":"Choose this endpoint when you need to quickly clean a damaged stock dataset of exact duplicates and impose numeric ordering on either handled_units or damaged_units, without needing live data lookups, predictions, or external integrations. Best suited for offline or batch retail data quality workflows involving up to 200 rows of damaged goods records.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:33:37.736Z","isFirstParty":false,"canonicalSlug":"damaged-stock-exact-row-deduplication-numeric-row-ordering-6a78b33d"}