{"uid":"cap_82qN6977SyWV8o-nNSF5y","slug":"competitor-supplied-prices-iqr-outlier-flags-date-by-category-pivot-79c404ec","name":"Competitor Supplied Prices — IQR Outlier Flags + Date by Category Pivot","description":"Competitor supplied prices — IQR outlier flags + Date by category pivot: IQR outlier flags + Date by category pivot 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-07-178?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_LlX9s4GzA0rAKGBhY_FeJ","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":"Runs two local analytical reports on supplied competitor price records: IQR-based outlier flagging and a date-by-category pivot, for up to 200 rows of list_price or package_quantity data.","exampleAgentPrompt":"I have competitor pricing records with list prices and package quantities across groups A and B — can you run IQR outlier detection plus a date-by-category pivot on these rows using the list_price field?","exampleUseCases":[{"title":"Retail pricing anomaly detection","prompt":"Here are 150 rows of competitor list prices by company group and date — flag any IQR outliers in the list_price field and give me a date-by-category pivot so I can see where prices spike."},{"title":"Package quantity outlier audit","prompt":"I've got competitor package quantity records across several groups for the past quarter — run IQR outlier flagging on the package_quantity field and pivot the results by date and company group."},{"title":"Weekly competitor price review","prompt":"Can you analyze these 80 competitor price records for this week — I need IQR-based outlier flags on list_price and a date-by-category breakdown so I can spot unusual pricing by group?"}],"resultDescription":"Two analytical reports: (1) IQR outlier flags identifying which rows have list_price or package_quantity values outside the interquartile range, and (2) a date-by-category pivot table summarizing the selected field across company groups and dates. Both reports are computed locally from the supplied data with no external lookups.","failureModes":["Fewer than 1 row supplied — request rejected","More than 200 rows supplied — exceeds limit","Invalid date format (not YYYY-MM-DD) — validation error","Missing required fields (row_id, company_group, date, list_price, package_quantity) — schema error","Invalid field enum value (must be list_price or package_quantity) — rejected","Null values across all rows may produce degenerate IQR results"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of pre-collected competitor pricing data (list_price, package_quantity) and need both IQR outlier detection and a date-by-category pivot in a single low-cost call. Ideal for offline/batch competitive price audits where no live data lookup, prediction, or external enrichment is needed. Prefer over generic stats tools when both reports from the same dataset are needed simultaneously for a flat $0.01 fee.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:05.467Z","isFirstParty":false,"canonicalSlug":"competitor-supplied-prices-iqr-outlier-flags-date-by-category-pivot-79c404ec"}