{"uid":"cap_cLag53A07zmhiJcIGsSjB","slug":"competitor-supplied-prices-string-normalisation-two-measure-correlation-0debdb44","name":"Competitor Supplied Prices — String Normalisation + Two-Measure Correlation","description":"Competitor supplied prices — String normalisation + Two-measure correlation: String normalisation + 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-07-033?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_9jY00uqCwc_vHgL_l03dR","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":"Normalises strings and computes two-measure correlation across up to 200 competitor price records (list_price, package_quantity), returning two analytical reports.","exampleAgentPrompt":"Can you run string normalisation and a two-measure correlation on these competitor price records — I have up to 50 rows each with a row_id, company_group, date, list_price, and package_quantity — and give me two analytical reports showing how list price and package quantity relate across competitors?","exampleUseCases":[{"title":"Competitor pricing correlation analysis","prompt":"I've got 80 rows of competitor price data with company groups, dates, list prices, and package quantities — can you normalise the strings and run a two-measure correlation between list_price and package_quantity to see if there's a pattern?"},{"title":"Multi-brand price-quantity relationship study","prompt":"We collected competitor pricing records from three company groups over the past quarter — about 150 rows total with row IDs, dates, list prices, and package quantities. Run string normalisation and give me both analytical reports on the correlation between price and quantity."},{"title":"Spot-check competitor pricing data quality","prompt":"Here are 30 rows of raw competitor price records with row IDs, company groups like 'group-a' and 'group-b', dates, list prices, and package quantities — can you normalise the strings and compute the two-measure correlation so I can see how clean the data is and whether price tracks quantity?"}],"resultDescription":"Two independent analytical reports: one covering string normalisation results for the supplied competitor price records, and one covering the two-measure correlation between list_price and package_quantity across up to 200 rows. Results are computed locally with no external lookups or predictions.","failureModes":["More than 200 rows submitted — exceeds maxItems limit","Missing required fields (row_id, company_group, date, list_price, package_quantity) on any row","Date field does not match YYYY-MM-DD pattern","Numeric fields exceed allowed magnitude bounds (±1,000,000,000,000)","Empty rows array (minItems: 1 not met)","row_id exceeds 80 character maxLength"],"whenToPreferThis":"Choose this endpoint when you have pre-collected competitor pricing records (list_price, package_quantity) and need both string normalisation and a statistical correlation between those two numeric measures in a single low-cost call. Ideal for offline batch analysis of up to 200 rows without requiring live data lookups, external predictions, or professional assessment.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T18:52:11.723Z","isFirstParty":false,"canonicalSlug":"competitor-supplied-prices-string-normalisation-two-measure-correlation-0debdb44"}