{"uid":"cap_bseR4415qVm4s_3dD4NDJ","slug":"competitor-supplied-prices-grouped-numeric-summary-missing-value-fill-b07a044b","name":"Competitor Supplied Prices — Grouped Numeric Summary + Missing-Value Fill","description":"Competitor supplied prices — Grouped numeric summary + Explicit missing-value fill: Grouped numeric summary + 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-07-099?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_P47I2ScsOW-pj3GMUjaTZ","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":"Computes grouped numeric summary statistics and fills missing values (via zero, mean, or median) for up to 200 rows of competitor price data across list_price and package_quantity fields.","exampleAgentPrompt":"Can you summarize my competitor price data grouped by company, and fill any missing list_price values using the median? I have about 50 rows with row_id, company_group, date, list_price, and package_quantity fields.","exampleUseCases":[{"title":"Competitor pricing gap analysis","prompt":"I have 120 rows of competitor price records with some null list_price values — can you group them by company and fill the missing prices using median, then give me a numeric summary per group?"},{"title":"Package quantity stats by supplier","prompt":"Can you take my 80-row competitor dataset and compute grouped numeric summary statistics for package_quantity by company group, filling any missing values with zero?"},{"title":"Retail price benchmarking report","prompt":"I need to benchmark competitor list prices across three company groups — can you summarize the data statistically and impute any missing values using the mean? I'll supply up to 150 rows."}],"resultDescription":"Returns two analytical reports for the supplied dataset: (1) a grouped numeric summary (e.g. count, min, max, mean, median, std) of the selected field broken down by company_group, and (2) the same data with missing values explicitly filled using the chosen method (zero, mean, or median). Both reports are derived from the caller-supplied rows with no external data lookup.","failureModes":["More than 200 rows submitted — exceeds maxItems limit","Missing required fields (row_id, company_group, date, list_price, or package_quantity) causes validation error","Invalid date format (not YYYY-MM-DD) rejected by pattern constraint","Invalid enum value for field or method parameter","All values null for the selected field prevents mean/median computation","Empty rows array (minItems: 1 not met)"],"whenToPreferThis":"Choose this endpoint when you have a batch of up to 200 competitor price records (list_price and/or package_quantity) and need both grouped descriptive statistics by company group AND missing-value imputation in a single low-cost call. It is a local analytical engine — no external lookups or predictions — making it deterministic, fast, and privacy-safe for sensitive pricing data. Prefer it over general-purpose analytics tools when you need both summary and imputation together in one structured, schema-validated pass.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:45:59.452Z","isFirstParty":false,"canonicalSlug":"competitor-supplied-prices-grouped-numeric-summary-missing-value-fill-b07a044b"}