{"uid":"cap_RHZLsTRCLY9L4on5AtImM","slug":"competitor-supplied-prices-numeric-row-ordering-explicit-missing-19c9466e","name":"Competitor Supplied Prices — Numeric Row Ordering + Explicit Missing-Value Fill","description":"Competitor supplied prices — Numeric row ordering + Explicit missing-value fill: Numeric row ordering + Explicit missing-value fill 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-07-124?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"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"}}},"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_Vx5so6sUM-Ytjr1IaN04v","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":"Sorts competitor pricing records numerically by row and fills missing list_price or package_quantity values using zero, mean, or median imputation, returning 2 analytical reports for up to 200 rows.","exampleAgentPrompt":"I have 150 rows of competitor pricing data with some missing list_price values — can you sort them numerically by row and fill the blanks using median imputation, then give me the 2 analytical reports?","exampleUseCases":[{"title":"Retail competitor price gap analysis","prompt":"I've got competitor price records for groups A and B across 80 dates — some list_price entries are null. Sort them numerically by row and fill those missing prices using the median, then give me the two summary reports."},{"title":"Wholesale package quantity cleanup","prompt":"Our competitor dataset has 120 rows but about 15 package_quantity values are missing. Can you order the rows numerically and fill the gaps with mean values, and return both analytical reports?"},{"title":"Zero-fill benchmark pricing dataset","prompt":"I need to prep 60 competitor pricing rows for benchmarking — fill any missing list_price fields with zero and sort everything numerically by row ID, then generate the two reports."}],"resultDescription":"Two independent analytical reports covering the submitted competitor pricing records (list_price and/or package_quantity) after numeric row ordering and explicit missing-value fill using the chosen method (zero, mean, or median). Reports are generated locally with no external lookups.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Invalid date format (not YYYY-MM-DD) causes validation error","Missing required fields (row_id, company_group, date) causes schema rejection","Invalid method enum value causes bad request error","Payment of 0.01 USDC not attached causes 402 Payment Required response"],"whenToPreferThis":"Choose this endpoint when you have a pre-collected batch of competitor pricing records (up to 200 rows) that need numeric row ordering and structured missing-value imputation (zero, mean, or median) across list_price or package_quantity fields, and you want two bundled analytical reports at a flat $0.01 cost — with no live data fetching, external lookups, or predictions involved.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:44:39.309Z","isFirstParty":false,"canonicalSlug":"competitor-supplied-prices-numeric-row-ordering-explicit-missing-19c9466e"}