{"uid":"cap_ftrV6VacnebKjBvKB2LpW","slug":"bundle-sales-exact-row-deduplication-and-numeric-row-ordering-fdc96649","name":"Bundle Sales Exact Row Deduplication and Numeric Row Ordering","description":"Bundle sales — Exact row deduplication + Numeric row ordering: Exact row deduplication + Numeric row ordering for supplied bundle sales records (bundles_sold, component_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-15-042?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","store_group","date","bundles_sold","component_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},"bundles_sold":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"component_units":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","store_group":"group-a","bundles_sold":10,"component_units":1},{"date":"2026-10-02","row_id":"row-2","store_group":"group-b","bundles_sold":20,"component_units":2},{"date":"2026-10-03","row_id":"row-3","store_group":"group-a","bundles_sold":15,"component_units":3},{"date":"2026-10-04","row_id":"row-4","store_group":"group-b","bundles_sold":30,"component_units":4}],"maxItems":200,"minItems":1},"field":{"enum":["bundles_sold","component_units"],"type":"string","default":"bundles_sold"}}},"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_YjOyNlJM-zGuO1tlpLdAH","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 bundle sales rows exactly and sorts them numerically for up to 200 supplied records, returning two bundled analytical reports.","exampleAgentPrompt":"I have up to 200 bundle sales records with fields like row_id, store_group, date, bundles_sold, and component_units — can you run exact row deduplication and numeric row ordering on them and give me the two reports, focusing on the bundles_sold field?","exampleUseCases":[{"title":"Clean duplicate retail bundle records","prompt":"I've got a set of bundle sales rows from multiple store groups with some duplicate entries — can you deduplicate them exactly and then sort them numerically by bundles_sold so I get two clean reports?"},{"title":"Order component units data for audit","prompt":"Here are 150 rows of bundle sales data including component_units per row — please deduplicate any exact duplicate rows and order everything numerically by component_units, and give me both resulting reports."},{"title":"Prepare bundle sales data for downstream processing","prompt":"Before I pass this bundle sales dataset downstream, I need exact row deduplication and numeric ordering applied to it — the dataset has up to 200 rows with bundles_sold and component_units columns. Can you run both those operations and return the two reports?"}],"resultDescription":"Two analytical reports generated from the supplied bundle sales data: one applying exact row deduplication (removing fully identical rows), and one applying numeric row ordering on the chosen field (bundles_sold or component_units). No external data is fetched; all analysis is performed on the provided rows.","failureModes":["More than 200 rows submitted — exceeds maximum row limit","Missing required fields (row_id, store_group, date, bundles_sold, or component_units) on any row","Invalid date format (must match YYYY-MM-DD pattern)","Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000)","Invalid field selector (must be 'bundles_sold' or 'component_units')","Empty rows array submitted"],"whenToPreferThis":"Use this endpoint when you have a flat list of bundle sales records (up to 200 rows) and need both exact row deduplication and numeric ordering in a single call, returning two independent reports. Ideal for retail analytics pipelines that need lightweight data cleaning without any external lookups or machine learning inference.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T18:37:29.549Z","isFirstParty":false,"canonicalSlug":"bundle-sales-exact-row-deduplication-and-numeric-row-ordering-fdc96649"}