{"uid":"cap_nt7T1x_Fa20uDlBkz-ElM","slug":"competitor-supplied-prices-record-quality-audit-iqr-outlier-flags-4e6a43c3","name":"Competitor Supplied Prices — Record Quality Audit + IQR Outlier Flags","description":"Competitor supplied prices — Record quality audit + IQR outlier flags: Record quality audit + IQR outlier flags 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-07-014?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"}}},"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_-kYTJytRvLSb4Zo8m99fr","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 price data for record quality issues and flags statistical outliers using IQR analysis across list_price and package_quantity fields.","exampleAgentPrompt":"Can you audit this competitor pricing dataset of 50 rows for record quality issues and flag any list_price outliers using IQR? Here's the data with row_id, company_group, date, list_price, and package_quantity fields.","exampleUseCases":[{"title":"Pre-analysis competitor price cleansing","prompt":"I've got 120 rows of competitor pricing data with list_price and package_quantity — can you run a quality audit and flag any IQR outliers in list_price before I use this for benchmarking?"},{"title":"Detecting anomalous package quantities","prompt":"Check this competitor price dataset for me — I want a record quality report and IQR outlier flags specifically on the package_quantity field, there are about 80 rows across company groups A, B, and C."},{"title":"Validating scraped competitor prices","prompt":"I scraped competitor prices from three groups over the last quarter, around 150 rows with dates, list prices, and package quantities. Can you audit these for data quality problems and highlight any statistical outliers using IQR?"}],"resultDescription":"Two independent reports: (1) a record quality audit identifying missing values, format issues, or invalid entries per row, and (2) IQR-based outlier flags identifying which rows contain statistically anomalous values for the selected field (list_price or package_quantity). Up to 200 rows processed per call.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Missing required fields (row_id, company_group, date, list_price, or package_quantity) — validation error","Invalid date format (must match YYYY-MM-DD pattern) — schema validation failure","Numeric values outside allowed range (±1 trillion) — schema rejection","Empty rows array — minimum 1 item required"],"whenToPreferThis":"Choose this endpoint when you need both a data quality audit and IQR outlier detection on competitor pricing data (list_price, package_quantity) in a single low-cost call. It is ideal for pre-processing competitor price datasets before downstream analysis, when you have up to 200 rows and want two reports for $0.01 USDC without any live lookups or external data enrichment.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:45:35.710Z","isFirstParty":false,"canonicalSlug":"competitor-supplied-prices-record-quality-audit-iqr-outlier-flags-4e6a43c3"}