{"uid":"cap_HovefBs6iqRJM4rgCrmq-","slug":"competitor-supplied-prices-record-quality-audit-two-measure-correlation-b4cab77d","name":"Competitor Supplied Prices — Record Quality Audit + Two-Measure Correlation","description":"Competitor supplied prices — Record quality audit + Two-measure correlation: Record quality audit + 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-07-015?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}}},"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_6rak3RQZxWXVJQycI-TIO","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: a record quality audit and a two-measure correlation between list_price and package_quantity, for up to 200 rows.","exampleAgentPrompt":"Can you audit the quality of these competitor price records and also run a correlation between list_price and package_quantity? I have up to 50 rows with fields like row_id, company_group, date, list_price, and package_quantity — I want to know if the data is clean and how strongly those two measures are related.","exampleUseCases":[{"title":"Competitor pricing data integrity check","prompt":"I've scraped 120 rows of competitor pricing data with columns for row_id, company_group, date, list_price, and package_quantity — can you run a record quality audit on it so I can see which rows have missing or invalid values before I use it in my analysis?"},{"title":"Price-quantity correlation for market research","prompt":"I have a dataset of about 80 competitor price records with list prices and package quantities from two company groups over the past quarter — can you run a two-measure correlation to tell me how strongly list_price and package_quantity move together?"},{"title":"Dual-report QA before competitive benchmarking","prompt":"Before I benchmark our prices against competitors, I need both a data quality audit and a correlation analysis on these 200 supplied records — each row has a row_id, company_group, date, list_price, and package_quantity. Can you generate both reports at once?"}],"resultDescription":"Returns two analytical reports: (1) a record quality audit flagging missing values, nulls, type issues, or out-of-range entries across the list_price and package_quantity fields; and (2) a two-measure correlation report quantifying the statistical relationship between list_price and package_quantity across the submitted rows. No external lookups or predictions are made — all analysis uses local engines on the supplied data.","failureModes":["Fewer than 1 row submitted — request rejected","More than 200 rows submitted — exceeds maximum batch size","Missing required fields (row_id, company_group, date, list_price, or package_quantity) — validation error","Date field does not match YYYY-MM-DD pattern — schema validation failure","Numeric fields exceed allowed range (±1,000,000,000,000) — validation error","Insufficient numeric variance in either measure — correlation may be undefined or NaN"],"whenToPreferThis":"Choose this endpoint when you have pre-collected competitor pricing data (list_price and package_quantity) that you want to quality-check and statistically analyze in a single call without any external lookups, live data fetching, or predictions. It is ideal for batch QA pipelines processing up to 200 rows where both data integrity validation and a correlation metric are needed simultaneously at low cost ($0.01 USDC for both reports). Prefer alternatives if you need more than two analytical measures, more than 200 rows, live market data, or predictive outputs.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:25.013Z","isFirstParty":false,"canonicalSlug":"competitor-supplied-prices-record-quality-audit-two-measure-correlation-b4cab77d"}