{"uid":"cap_GV9JT12Cs9VsKRCJei6_P","slug":"competitor-supplied-prices-daily-sum-series-explicit-missing-value-fill-c2bb6a06","name":"Competitor Supplied Prices — Daily Sum Series + Explicit Missing-Value Fill","description":"Competitor supplied prices — Daily sum series + Explicit missing-value fill: Daily sum series + 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-07-145?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_lv_czcXTZdPb0z0GHrwLY","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 daily sum time series for competitor supplied price data (list_price or package_quantity) and fills missing values using zero, mean, or median imputation, returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"I have competitor pricing records with some missing list_price values — can you compute the daily sum time series for list_price across all company groups and fill any missing values using median imputation? I have about 50 rows spanning October 2026.","exampleUseCases":[{"title":"Daily competitor price rollup with null fill","prompt":"I've got competitor supplied price data for groups A and B across 30 days in Q4, but some list_price entries are null. Can you compute the daily sum of list_price for each day and fill those gaps using the median method? Here are up to 100 rows."},{"title":"Package quantity trend with zero-fill gaps","prompt":"I need a daily sum series for package_quantity from my competitor pricing dataset — some days have missing entries. Please fill those with zero and give me two reports summarizing the data across all company groups."},{"title":"Competitor pricing audit across company groups","prompt":"Can you run a daily aggregation on these competitor supplied price records — about 150 rows — and fill any missing list_price values using the mean? I want two analytical reports showing the daily sum series so I can spot pricing trends by group."}],"resultDescription":"Returns two local analytical reports: (1) a daily sum time series for the chosen field (list_price or package_quantity) aggregated across the supplied rows, and (2) an explicit missing-value fill report showing imputed values using the selected method (zero, mean, or median). Up to 200 input rows are supported per call.","failureModes":["Exceeds 200 row limit — request rejected with validation error","Invalid date format (not YYYY-MM-DD) — schema pattern validation failure","Missing required fields (row_id, company_group, date) — object validation error","Invalid field enum value — must be 'list_price' or 'package_quantity'","Invalid method enum value — must be 'zero', 'mean', or 'median'","Empty rows array — minItems:1 constraint violation","Payment failure — x402 payment of 0.01 USDC not processed"],"whenToPreferThis":"Choose this endpoint when you have pre-collected competitor pricing data (list_price and/or package_quantity) with potential gaps that need imputation, and you want both a daily sum time series aggregation and explicit missing-value fill in a single low-cost call. It is best suited for offline batch analytical tasks on up to 200 rows of tabular pricing records, not for live price lookups or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:44:52.525Z","isFirstParty":false,"canonicalSlug":"competitor-supplied-prices-daily-sum-series-explicit-missing-value-fill-c2bb6a06"}