{"uid":"cap_cB3Jq17cf3JtANKNC0gNx","slug":"packaging-usage-exact-row-deduplication-numeric-distribution-36b711a7","name":"Packaging Usage — Exact Row Deduplication + Numeric Distribution","description":"Packaging usage — Exact row deduplication + Numeric distribution: Exact row deduplication + Numeric distribution for supplied packaging usage records (packages_sent, material_grams). 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-17-039?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","store_group","date","packages_sent","material_grams"],"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},"packages_sent":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"material_grams":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","store_group":"group-a","packages_sent":10,"material_grams":1},{"date":"2026-10-02","row_id":"row-2","store_group":"group-b","packages_sent":20,"material_grams":2},{"date":"2026-10-03","row_id":"row-3","store_group":"group-a","packages_sent":15,"material_grams":3},{"date":"2026-10-04","row_id":"row-4","store_group":"group-b","packages_sent":30,"material_grams":4}],"maxItems":200,"minItems":1},"field":{"enum":["packages_sent","material_grams"],"type":"string","default":"packages_sent"}}},"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_-I3qLv6fTr6KbB5M0bIcR","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 packaging usage records and computes a numeric distribution report for a chosen numeric field (packages_sent or material_grams) across up to 200 rows.","exampleAgentPrompt":"Can you deduplicate my packaging usage records and show me the numeric distribution for packages_sent? I have about 150 rows with fields like row_id, store_group, date, packages_sent, and material_grams — here's the data.","exampleUseCases":[{"title":"Retail packaging audit before sustainability report","prompt":"I have 120 rows of packaging usage data from our retail stores — each row has a row_id, store_group, date, packages_sent, and material_grams. Can you deduplicate them and give me the distribution of packages_sent so I can use it in our sustainability report?"},{"title":"Detect duplicate shipment records across store groups","prompt":"Before I finalize our monthly packaging summary, can you run exact deduplication on these 80 packaging usage records and also show me the numeric distribution of material_grams across all rows?"},{"title":"Data quality check on packaging logistics export","prompt":"I exported 200 rows of packaging data from our logistics system and I'm worried there are exact duplicate entries. Can you remove the duplicates and compute the distribution of packages_sent so I can see how shipment volumes are spread?"}],"resultDescription":"Returns two independent analytical reports: (1) an exact row deduplication report identifying and removing fully duplicate rows from the submitted packaging usage records, and (2) a numeric distribution report for the selected field (packages_sent or material_grams), including statistical distribution details across up to 200 input rows.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, date, packages_sent, material_grams) causes rejection","Invalid date format (not YYYY-MM-DD) triggers a schema validation error","Null values in the selected numeric field may affect distribution accuracy","Submitting zero rows or an empty array returns an error"],"whenToPreferThis":"Choose this endpoint when you need to both clean packaging usage data by removing exact duplicates and understand the statistical distribution of a numeric packaging metric (packages_sent or material_grams) in a single low-cost call. It is purpose-built for retail packaging datasets with store group and date dimensions, requires no external connectivity, and is ideal for pre-reporting data quality checks at minimal cost ($0.01 USDC for both reports).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T18:35:03.141Z","isFirstParty":false,"canonicalSlug":"packaging-usage-exact-row-deduplication-numeric-distribution-36b711a7"}