{"uid":"cap_up9jNNIYopCE6pqaBE-RA","slug":"purchase-orders-exact-row-deduplication-two-measure-correlation-fcf6ef64","name":"Purchase Orders — Exact Row Deduplication + Two-Measure Correlation","description":"Purchase orders — Exact row deduplication + Two-measure correlation: Exact row deduplication + Two-measure correlation for supplied purchase orders records (ordered_amount, received_amount). 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-19-050?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","store_group","date","ordered_amount","received_amount"],"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},"ordered_amount":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"received_amount":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","store_group":"group-a","ordered_amount":10,"received_amount":1},{"date":"2026-10-02","row_id":"row-2","store_group":"group-b","ordered_amount":20,"received_amount":2},{"date":"2026-10-03","row_id":"row-3","store_group":"group-a","ordered_amount":15,"received_amount":3},{"date":"2026-10-04","row_id":"row-4","store_group":"group-b","ordered_amount":30,"received_amount":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_lzJAWGiHpM-KMcoKvEGv0","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 exact duplicate rows and computes correlation between ordered_amount and received_amount across up to 200 purchase order records, returning two analytical reports.","exampleAgentPrompt":"Can you deduplicate my purchase order records and compute the correlation between ordered_amount and received_amount? I have rows with row_id, store_group, date, ordered_amount, and received_amount — here are up to 200 rows from my retail dataset.","exampleUseCases":[{"title":"Retail fulfillment gap analysis","prompt":"I have 150 purchase order rows from my retail stores with ordered_amount and received_amount columns. Can you deduplicate any exact duplicate records and then tell me how strongly correlated the ordered and received quantities are?"},{"title":"Supply chain data quality check","prompt":"Before I load this purchase order dataset into our warehouse, can you remove any exact duplicate rows and give me a correlation report between what was ordered and what was actually received? I have about 80 rows covering multiple store groups."},{"title":"Month-end reconciliation report","prompt":"For our October purchase orders, I have 200 rows with store_group, date, ordered_amount, and received_amount. Can you deduplicate the data and compute the correlation between ordered and received amounts so I can include it in the month-end reconciliation?"}],"resultDescription":"Returns two analytical reports: (1) a deduplication report identifying and removing exact duplicate rows from the submitted purchase order records, and (2) a Pearson or equivalent correlation report quantifying the statistical relationship between ordered_amount and received_amount across the cleaned dataset.","failureModes":["Exceeds 200 row limit — request rejected or truncated","Missing required fields (row_id, date, ordered_amount, received_amount) — validation error","Invalid date format (must be YYYY-MM-DD) — schema validation failure","All rows are duplicates — deduplication report returns empty or single-row result","Null values in both measure columns — correlation undefined or NaN","Insufficient variance in measures — correlation computation returns warning"],"whenToPreferThis":"Choose this endpoint when you have purchase order tabular data (up to 200 rows) and need both exact row deduplication and a two-measure correlation analysis in a single low-cost call ($0.01 USDC). It is ideal for offline/batch data quality checks on retail purchase order datasets where no live lookups, external data enrichment, or predictions are required.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T18:38:33.750Z","isFirstParty":false,"canonicalSlug":"purchase-orders-exact-row-deduplication-two-measure-correlation-fcf6ef64"}