{"uid":"cap_Q6k-sels-jRGGqLmBZgJK","slug":"competitor-supplied-prices-numeric-row-ordering-two-measure-correlation-5d5a4cd9","name":"Competitor Supplied Prices — Numeric Row Ordering + Two-Measure Correlation","description":"Competitor supplied prices — Numeric row ordering + Two-measure correlation: Numeric row ordering + 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-07-120?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_xHIAgxkcxJeN-YJzTGBcp","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 data: numeric row ordering and Pearson/rank correlation between list_price and package_quantity, for up to 200 rows.","exampleAgentPrompt":"I have 150 rows of competitor pricing data with list_price and package_quantity — can you rank them numerically by list_price and also compute the correlation between list_price and package_quantity? Here are the rows with their row_id, company_group, and date fields.","exampleUseCases":[{"title":"Competitor price ranking for procurement","prompt":"I've collected 80 rows of competitor price quotes with list_price and package_quantity per company group and date — can you sort them by list_price numerically and tell me how strongly list_price correlates with package_quantity?"},{"title":"Pricing strategy correlation check","prompt":"We have 120 records of competitor supplied prices across two company groups. Please rank them by package_quantity and give me the correlation between package_quantity and list_price so I can see if larger packages tend to cost more."},{"title":"Sales data audit before board report","prompt":"Before our board meeting I need two quick analytics on this set of 60 competitor price rows: a numeric ordering by list_price and a correlation report between list_price and package_quantity — can you run both?"}],"resultDescription":"Returns two independent analytical reports computed locally: (1) the input rows re-ordered by the selected numeric measure (list_price or package_quantity), and (2) a two-measure correlation result quantifying the statistical relationship between list_price and package_quantity across the supplied rows. No live data lookup, prediction, or external action is performed.","failureModes":["Fewer than 1 row supplied — request rejected","More than 200 rows supplied — exceeds max limit","Missing required fields (row_id, company_group, date, list_price, package_quantity) on any row — validation error","Date field does not match YYYY-MM-DD pattern — schema validation failure","Numeric fields outside allowed range (±1 trillion) — validation error","All values null for the selected measure — correlation or ordering may be undefined","Payment of 0.01 USDC not completed — 402 response"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of competitor pricing data already in hand and need both a ranked ordering and a correlation analysis between list_price and package_quantity in a single paid call. It is ideal for offline/batch analytical use cases where no live data retrieval, prediction, or external system interaction is required, and where cost efficiency (two reports for $0.01 USDC) matters.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:06.954Z","isFirstParty":false,"canonicalSlug":"competitor-supplied-prices-numeric-row-ordering-two-measure-correlation-5d5a4cd9"}