{"uid":"cap_Nw-hODNkfkyUTDxYgWM0r","slug":"competitor-supplied-prices-record-quality-audit-date-by-category-pivot-d4e76fc8","name":"Competitor Supplied Prices — Record Quality Audit + Date by Category Pivot","description":"Competitor supplied prices — Record quality audit + Date by category pivot: Record quality audit + Date by category pivot for supplied competitor supplied prices records (list_price, package_quantity). 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-company-07-017?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","company_group","date","list_price","package_quantity"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"list_price":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"company_group":{"type":"string","default":"","maxLength":80},"package_quantity":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","list_price":10,"company_group":"group-a","package_quantity":1},{"date":"2026-10-02","row_id":"row-2","list_price":20,"company_group":"group-b","package_quantity":2},{"date":"2026-10-03","row_id":"row-3","list_price":15,"company_group":"group-a","package_quantity":3},{"date":"2026-10-04","row_id":"row-4","list_price":30,"company_group":"group-b","package_quantity":4}],"maxItems":200,"minItems":1},"field":{"enum":["list_price","package_quantity"],"type":"string","default":"list_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_DbEP7mYbqlouwCNoBCRxf","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 up to 200 rows of competitor price data: a record quality audit and a date-by-category pivot table for list_price or package_quantity.","exampleAgentPrompt":"Can you run a record quality audit and a date-by-category pivot on this competitor pricing dataset I have — 50 rows with company_group, date, list_price, and package_quantity — and pivot by list_price?","exampleUseCases":[{"title":"Pre-analysis pricing data quality check","prompt":"I've scraped competitor list prices from 3 company groups over the past quarter — about 120 rows with dates and package quantities. Can you audit the record quality and also pivot the list_price values by date and company group so I can spot patterns and gaps?"},{"title":"Package quantity pivot for procurement review","prompt":"I have 80 rows of competitor supplied pricing records including package_quantity and company_group. Run me a record quality audit and a date-by-category pivot on the package_quantity field so I can see how quantities vary across groups over time."},{"title":"Data completeness check before pricing model","prompt":"Before I feed this competitor price data into my model, can you do a quality audit on these 150 rows — flag any nulls or bad records — and also generate a date-by-category pivot on list_price broken down by company group?"}],"resultDescription":"Returns two independent analytical reports: (1) a record quality audit identifying completeness issues, null values, and anomalies across the supplied rows; and (2) a date-by-category pivot table summarizing the chosen field (list_price or package_quantity) grouped by date and company_group. Both reports are computed locally from the supplied data with no external lookups.","failureModes":["Exceeds 200-row limit — request rejected","Missing required fields (row_id, company_group, date, list_price, package_quantity) — validation error","Invalid date format (not YYYY-MM-DD) — schema rejection","Empty rows array — minimum 1 item required","Invalid field enum value (must be list_price or package_quantity) — error","Numeric values outside allowed range — schema rejection"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of pre-collected competitor pricing data and need both a data quality audit and a date-by-category pivot in a single low-cost call. Ideal for pre-processing competitor price datasets before feeding them into models or reports. Not suitable for live price lookups, predictions, or datasets larger than 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:45:45.763Z","isFirstParty":false,"canonicalSlug":"competitor-supplied-prices-record-quality-audit-date-by-category-pivot-d4e76fc8"}