{"uid":"cap_V87QJJXg5FYC062qsz7td","slug":"competitor-supplied-prices-grouped-numeric-summary-two-measure-f72c6d8b","name":"Competitor Supplied Prices — Grouped Numeric Summary + Two-Measure Correlation","description":"Competitor supplied prices — Grouped numeric summary + Two-measure correlation: Grouped numeric summary + Two-measure correlation 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-07-095?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_LmpMI3XiAxyQG0ppKolby","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 grouped numeric summary statistics and a two-measure correlation report for supplied competitor price data (list_price, package_quantity) across up to 200 rows.","exampleAgentPrompt":"I have competitor pricing records with list prices and package quantities for two company groups — can you group these by company and give me a numeric summary plus a correlation between list_price and package_quantity for up to 200 rows?","exampleUseCases":[{"title":"Competitor pricing spread by vendor","prompt":"I've got a table of competitor pricing rows with company_group, date, list_price, and package_quantity — can you group them by company and summarize the list_price statistics, then show me how list_price and package_quantity correlate across all of them?"},{"title":"Bulk price-quantity relationship analysis","prompt":"Here are 150 rows of competitor supplied prices across two vendor groups. Run a grouped numeric summary on list_price and also compute the correlation between list_price and package_quantity so I can see if higher quantities come with lower prices."},{"title":"Periodic competitor pricing audit","prompt":"I'm reviewing competitor prices recorded over the past quarter. Can you give me a grouped numeric breakdown of list_price by company_group and tell me whether package_quantity and list_price are correlated in this dataset?"}],"resultDescription":"Returns two analytical reports: (1) a grouped numeric summary showing descriptive statistics (e.g. mean, min, max, std dev) for the target field broken down by company_group, and (2) a correlation analysis between list_price and package_quantity across the supplied rows. Both reports are computed locally from the provided data with no external lookups.","failureModes":["Empty or missing rows array returns an error or empty result","More than 200 rows submitted exceeds the maxItems limit and will be rejected","Invalid date format (not YYYY-MM-DD) fails schema validation","Null values in list_price or package_quantity may reduce correlation validity","Missing required fields (row_id, company_group) cause row-level validation failure","Non-numeric values passed to numeric fields trigger schema rejection"],"whenToPreferThis":"Choose this endpoint when you have pre-collected competitor pricing data (list_price and package_quantity) organized by company group and date, and need both a grouped summary and a two-measure correlation in a single low-cost API call. Ideal for batch offline analysis of up to 200 rows where no live data fetch, prediction, or external enrichment is needed. Prefer this over general-purpose analytics tools when you want a deterministic, schema-validated statistical report at minimal cost ($0.01 USDC for two reports).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:44:50.595Z","isFirstParty":false,"canonicalSlug":"competitor-supplied-prices-grouped-numeric-summary-two-measure-f72c6d8b"}