{"uid":"cap_SPQi-N4buLnsJ-yFrX9Hd","slug":"competitor-supplied-prices-exact-row-deduplication-explicit-missing-cd542eff","name":"Competitor Supplied Prices — Exact Row Deduplication + Explicit Missing-Value Fill","description":"Competitor supplied prices — Exact row deduplication + Explicit missing-value fill: Exact row deduplication + 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-07-054?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_8ATU2LCmfcXJ3h_T2_3Cf","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 rows and fills missing values in competitor supplied price records (list_price, package_quantity) for up to 200 rows, returning 2 analytical reports.","exampleAgentPrompt":"Clean up this competitor pricing dataset — remove any exact duplicate rows and fill in missing list_price values using the median. I have about 50 rows with company_group, date, list_price, and package_quantity fields, and I need 2 reports back.","exampleUseCases":[{"title":"Retail competitor price data cleanup","prompt":"I've got 120 rows of competitor pricing data with some duplicates and a bunch of missing list_price entries — can you deduplicate them and fill the gaps using the median so I can use this for my pricing model?"},{"title":"Weekly competitor package quantity audit","prompt":"Every week I pull competitor package quantity data and there are always some duplicate records and null values — run deduplication and fill those missing package_quantity fields with the mean for this week's 80-row dataset."},{"title":"Pre-analysis competitor price normalization","prompt":"Before I run my analysis, I need to clean my competitor pricing table: strip exact duplicate rows and fill any missing list_price values with zero. The dataset has about 175 rows with company_group, date, list_price, and package_quantity columns."}],"resultDescription":"Returns 2 independent analytical reports: one covering exact row deduplication results (identifying and removing fully duplicate records) and one covering explicit missing-value fill results for the chosen field (list_price or package_quantity) using the specified method (zero, mean, or median). No live lookups or predictions are made; all processing uses local analytical engines on the supplied data.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required fields (row_id, company_group, date) on any row — validation error","Invalid date format (not YYYY-MM-DD) — schema validation failure","Unsupported fill method or field enum value — rejected","Empty input array — rejected","Numeric values outside allowed range (-1T to +1T) — schema validation failure"],"whenToPreferThis":"Use this endpoint when you have a batch of up to 200 competitor pricing rows with potential duplicates and/or missing numeric values (list_price or package_quantity) and need both a deduplication report and a missing-value fill report in a single call. It is ideal for pre-analysis data cleaning pipelines where you want deterministic, reproducible results using local computation with no external lookups or model predictions. Prefer this over general-purpose data tools when the specific combination of exact row deduplication and explicit missing-value fill for competitor price data is needed together at minimal cost.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T06:43:17.092Z","isFirstParty":false,"canonicalSlug":"competitor-supplied-prices-exact-row-deduplication-explicit-missing-cd542eff"}