{"uid":"cap_gQ-ibkHxz-bzeVTTRZW1l","slug":"competitor-supplied-prices-daily-sum-series-two-measure-correlation-98693c2d","name":"Competitor Supplied Prices — Daily Sum Series + Two-Measure Correlation","description":"Competitor supplied prices — Daily sum series + Two-measure correlation: Daily sum series + 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-07-141?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_J9g9M5LJdIN62u1ZTfQiE","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":"Analyzes up to 200 rows of competitor pricing data by computing a daily sum time series and a Pearson correlation between list_price and package_quantity fields, returning two local analytical reports.","exampleAgentPrompt":"I've got a dataset of competitor prices — about 50 rows with date, company group, list price, and package quantity — can you give me the daily sum series for list_price and also tell me how correlated list_price and package_quantity are?","exampleUseCases":[{"title":"Competitor pricing trend review","prompt":"I have 120 rows of competitor pricing records with dates, company groups, list prices, and package quantities — can you compute the daily sum series for list_price and run a correlation between list_price and package_quantity so I can see if higher prices come with larger package sizes?"},{"title":"Retail category benchmarking analysis","prompt":"Here are 80 rows of supplier price data across two company groups from October — please give me the daily summed list_price over time and a two-measure correlation between list_price and package_quantity for my benchmarking report."},{"title":"Pricing strategy data validation","prompt":"Before we finalize our pricing strategy, can you analyze these 40 competitor price records — I need the daily total list prices as a time series and a correlation check between list_price and package_quantity to see if bundling affects price?"}],"resultDescription":"Returns two analytical reports: (1) a daily sum time series aggregating the selected numeric field (list_price or package_quantity) grouped by date across up to 200 input rows, and (2) a Pearson or equivalent correlation coefficient between list_price and package_quantity, computed locally without any external data lookup or prediction.","failureModes":["Input array exceeds 200 rows — request will be rejected or truncated","Missing required fields (row_id, date, list_price, package_quantity, company_group) cause validation errors","Dates not matching YYYY-MM-DD pattern will fail schema validation","All-null values for list_price or package_quantity may produce undefined correlation results","Payment of 0.01 USDC not completed — endpoint returns 402 Payment Required"],"whenToPreferThis":"Choose this endpoint when you have a pre-collected batch of competitor price records (up to 200 rows) and need both a daily aggregated time series and a statistical correlation between price and quantity in a single low-cost call. It is ideal for offline analytical workflows where no live data fetch, prediction, or external enrichment is needed — just fast local computation on supplied data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:05.169Z","isFirstParty":false,"canonicalSlug":"competitor-supplied-prices-daily-sum-series-two-measure-correlation-98693c2d"}