{"uid":"cap_gU87YgWo5gLa9lC_V1R5z","slug":"competitor-supplied-prices-record-quality-audit-explicit-missing-eeab2db3","name":"Competitor Supplied Prices — Record Quality Audit + Explicit Missing-Value Fill","description":"Competitor supplied prices — Record quality audit + Explicit missing-value fill: Record quality audit + 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-07-019?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_Cy_lArErc8p5PUrv4rXAK","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":"Audits up to 200 rows of competitor pricing data (list_price, package_quantity) for quality issues and fills missing numeric values using zero, mean, or median imputation, returning two independent analytical reports.","exampleAgentPrompt":"Can you audit these competitor pricing rows for data quality issues and fill in any missing list_price values using median imputation? I have up to 150 rows with fields like row_id, company_group, date, list_price, and package_quantity.","exampleUseCases":[{"title":"Clean competitor price feed before analysis","prompt":"I have 120 rows of competitor pricing data with some null list_price entries — can you run a quality audit on them and fill in the missing list_price values using median imputation? Each row has a row_id, company_group, date, list_price, and package_quantity."},{"title":"Impute missing package quantities for reporting","prompt":"Our competitor pricing dataset has gaps in the package_quantity column. Can you audit the records for quality issues and fill in the missing package_quantity values using mean imputation across up to 80 rows?"},{"title":"Weekly competitor data hygiene check","prompt":"Before I load this week's competitor price list into our dashboard, can you do a quality audit and fill any missing list_price fields using zero imputation? I'll send you up to 200 rows of data with row_id, company_group, date, list_price, and package_quantity."}],"resultDescription":"Returns two independent reports: (1) a record quality audit flagging issues such as nulls, format problems, and anomalies across the submitted rows, and (2) an explicit missing-value fill report showing which list_price or package_quantity values were imputed and what values were substituted using the chosen method (zero, mean, or median). No external lookups or predictions are made; all analysis uses local engines.","failureModes":["Exceeding 200 rows returns a validation error","Invalid date format (not YYYY-MM-DD) causes row rejection","Missing required fields (row_id, company_group, date) causes processing failure","Invalid method enum value (not zero/mean/median) causes bad request","Invalid field enum value (not list_price/package_quantity) causes bad request","Empty rows array returns an error","Payment failure via x402 protocol blocks request"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of competitor pricing data with missing numeric values (list_price or package_quantity) and need both a data quality audit and explicit imputation in a single low-cost call ($0.01 USDC). Prefer this over generic data cleaning tools when your data specifically involves competitor pricing with company_group and date dimensions, and you want deterministic imputation (zero/mean/median) without any predictive modeling or external data enrichment.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:45:26.316Z","isFirstParty":false,"canonicalSlug":"competitor-supplied-prices-record-quality-audit-explicit-missing-eeab2db3"}