{"uid":"cap_OSZq3T2JMslICwS-tjJu-","slug":"price-basket-observations-record-quality-audit-date-by-category-pivot-527c31ad","name":"Price Basket Observations — Record Quality Audit + Date by Category Pivot","description":"Price basket observations — Record quality audit + Date by category pivot: Record quality audit + Date by category pivot for supplied price basket observations records (item_price, quantity_weight). 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-economics-07-017?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","region","date","item_price","quantity_weight"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"region":{"type":"string","default":"","maxLength":80},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"item_price":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"quantity_weight":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","region":"group-a","row_id":"row-1","item_price":10,"quantity_weight":1},{"date":"2026-10-02","region":"group-b","row_id":"row-2","item_price":20,"quantity_weight":2},{"date":"2026-10-03","region":"group-a","row_id":"row-3","item_price":15,"quantity_weight":3},{"date":"2026-10-04","region":"group-b","row_id":"row-4","item_price":30,"quantity_weight":4}],"maxItems":200,"minItems":1},"field":{"enum":["item_price","quantity_weight"],"type":"string","default":"item_price"}}},"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_mGY6wJLFa9xr65QAnyGN3","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 two local analytical reports on price basket observation records: a record quality audit and a date-by-category pivot table, for up to 200 rows of item_price/quantity_weight data.","exampleAgentPrompt":"Can you run a record quality audit and a date-by-category pivot on my price basket data? I have rows with region, date, item_price, and quantity_weight — here are up to 200 records — and I want to analyze the item_price field.","exampleUseCases":[{"title":"Retail price basket data quality check","prompt":"I've got 150 rows of price basket observations with item prices and quantity weights across different regions and dates. Can you audit the record quality and also give me a pivot of item_price by date and category so I can spot gaps or anomalies?"},{"title":"Economics dataset validation before reporting","prompt":"Before I publish this economics report, can you run a quality audit on my 80-row price basket dataset and generate a date-by-category pivot table for the quantity_weight field? I need to make sure the records are clean and well-structured."},{"title":"Regional pricing trend summarization","prompt":"I have pricing observations from two regional groups over several dates — about 120 rows total with item_price and quantity_weight. Can you do a record quality audit and pivot the item_price values by date and region for me?"}],"resultDescription":"Returns two analytical reports: (1) a record quality audit flagging issues such as nulls, out-of-range values, or malformed fields in the submitted rows; and (2) a date-by-category pivot table summarizing the selected numeric field (item_price or quantity_weight) across date and region groupings. Both reports are computed locally with no external lookups.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, region, date, item_price, quantity_weight) causes rejection","Invalid date format (not YYYY-MM-DD) triggers schema validation failure","field enum value outside 'item_price' or 'quantity_weight' causes an error","Empty rows array (minItems:1 not met) returns a schema error"],"whenToPreferThis":"Choose this endpoint when you need both a data quality audit and a date-by-category pivot in a single low-cost call for price basket data (item_price, quantity_weight). It is ideal for economics, retail, or market datasets of up to 200 rows where you want offline/local analysis without any external data lookups or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T12:37:43.200Z","isFirstParty":false,"canonicalSlug":"price-basket-observations-record-quality-audit-date-by-category-pivot-527c31ad"}