{"uid":"cap_elw2jKPbZzWYsXtzbFT9-","slug":"competitor-supplied-prices-numeric-distribution-two-measure-correlation-927a56be","name":"Competitor Supplied Prices — Numeric Distribution + Two-Measure Correlation","description":"Competitor supplied prices — Numeric distribution + Two-measure correlation: Numeric distribution + 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-07-081?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_4HRacwCFvfk3_tc0lnWWS","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 numeric distribution statistics and Pearson/rank correlation between list_price and package_quantity for up to 200 rows of competitor pricing data.","exampleAgentPrompt":"Can you run a numeric distribution analysis and a list_price-vs-package_quantity correlation on this competitor pricing dataset? I have 4 rows: row-1, 2026-10-01, group-a, list_price=10, package_quantity=1; row-2, 2026-10-02, group-b, list_price=20, package_quantity=2; row-3, 2026-10-03, group-a, list_price=15, package_quantity=3; row-4, 2026-10-04, group-b, list_price=30, package_quantity=4.","exampleUseCases":[{"title":"Competitor pricing spread analysis","prompt":"I've collected list prices from 50 competitor products across two groups. Can you run a numeric distribution report on the list_price column so I can see the spread, mean, and percentiles?"},{"title":"Price-quantity correlation for product bundling","prompt":"I have a competitor dataset with 120 rows including list_price and package_quantity. Can you tell me whether larger package quantities tend to come with higher or lower list prices — run the two-measure correlation for me?"},{"title":"Group-level pricing benchmarking","prompt":"We pulled competitor pricing records for group-a and group-b across Q4 2026. Can you analyze the numeric distribution of both list_price and package_quantity so we can benchmark where our prices stand?"}],"resultDescription":"Returns two independent statistical reports: (1) a numeric distribution report covering descriptive statistics (mean, median, std dev, min, max, percentiles) for the selected field across up to 200 rows; and (2) a two-measure correlation report quantifying the linear relationship between list_price and package_quantity in the supplied dataset.","failureModes":["Input array exceeds 200 rows — request will be rejected","Missing required fields (row_id, date, list_price, package_quantity) cause validation errors","Non-numeric values in list_price or package_quantity fields may cause computation errors","Empty or single-row input may produce degenerate or undefined correlation results","Date strings not matching YYYY-MM-DD pattern will fail schema validation"],"whenToPreferThis":"Use this endpoint when you have a batch of competitor pricing records (up to 200 rows) and need both a statistical distribution summary and a correlation analysis between list_price and package_quantity in a single low-cost call. Prefer it over general-purpose analytics tools when you want a focused, pre-configured report on competitor pricing dimensions without writing custom analysis code.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:45:07.283Z","isFirstParty":false,"canonicalSlug":"competitor-supplied-prices-numeric-distribution-two-measure-correlation-927a56be"}