{"uid":"cap_jgI6zJyHNOao2GWklI_MK","slug":"competitor-supplied-prices-string-normalisation-secondary-measure-95e3221f","name":"Competitor Supplied Prices — String Normalisation + Secondary-Measure Weighted Mean","description":"Competitor supplied prices — String normalisation + Secondary-measure weighted mean: String normalisation + Secondary-measure weighted mean 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-07-034?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_ikHEXKFy5RWExz7KmMZPA","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 string normalisation and secondary-measure weighted mean analytics on up to 200 rows of competitor-supplied price data (list_price, package_quantity), producing 2 local analytical reports.","exampleAgentPrompt":"Can you normalise the strings and compute a secondary-measure weighted mean on these 150 competitor price records I have — each row has a row_id, company_group, date, list_price, and package_quantity — and run both reports on the list_price field?","exampleUseCases":[{"title":"Competitor price benchmarking analysis","prompt":"I have 120 rows of competitor pricing data with list prices and package quantities across different company groups and dates. Can you string-normalise them and give me the weighted mean of list_price weighted by package_quantity so I can benchmark our pricing?"},{"title":"Retail category price audit","prompt":"Run string normalisation and a secondary-measure weighted mean on these 80 competitor product price rows — the field I care about is package_quantity — and give me both analytical reports."},{"title":"Multi-group supplier price review","prompt":"I've collected pricing records from four competitor company groups over the past quarter — about 200 rows — with list_price and package_quantity. Can you clean the strings and compute a weighted mean so I can see which groups are pricing outliers?"}],"resultDescription":"Two analytical reports: (1) a string-normalised view of the supplied competitor price records, and (2) a secondary-measure weighted mean computed across up to 200 rows for the selected field (list_price or package_quantity), all processed locally without external lookups or predictions.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, company_group, date, list_price, package_quantity) causes row rejection","Invalid date format (not YYYY-MM-DD) fails pattern validation","Numeric values outside ±1,000,000,000,000 are rejected","Empty rows array returns an error","Invalid field enum value (not list_price or package_quantity) fails schema validation"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of competitor-supplied pricing records and need both string normalisation and a secondary-measure weighted mean in a single low-cost call ($0.01 USDC for 2 reports). Ideal for local, offline-style analytical processing with no external data lookups or predictions required. Best when inputs are structured with company_group, date, list_price, and package_quantity fields.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:45:31.093Z","isFirstParty":false,"canonicalSlug":"competitor-supplied-prices-string-normalisation-secondary-measure-95e3221f"}