{"uid":"cap_2hsk0lovuFxbKXWtiOWIc","slug":"competitor-supplied-prices-string-normalisation-grouped-numeric-summary-2cb3de90","name":"Competitor Supplied Prices — String Normalisation + Grouped Numeric Summary","description":"Competitor supplied prices — String normalisation + Grouped numeric summary: String normalisation + Grouped numeric summary 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-07-023?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_BFca6gPhtVeaUZffueW9-","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 string fields and produces a grouped numeric summary report for competitor-supplied pricing records (list_price, package_quantity) across up to 200 rows.","exampleAgentPrompt":"I have 150 rows of competitor pricing data with list_price and package_quantity values across several company groups — can you normalize the strings and give me a grouped numeric summary for the list_price field?","exampleUseCases":[{"title":"Competitor pricing benchmarking by segment","prompt":"I've got a batch of competitor price records for about 80 rows across five company groups — can you normalize the data and generate a grouped numeric summary for list_price so I can see how each group compares?"},{"title":"Package quantity analysis across competitor groups","prompt":"Here are 120 rows of competitor product data with package_quantity values across different company groups — please normalize the strings and give me a grouped numeric summary for package_quantity."},{"title":"Ad hoc competitive price audit","prompt":"I need to quickly audit 60 rows of competitor supplied prices — run the string normalisation and grouped summary on the list_price field so I can spot outliers by company group."}],"resultDescription":"Returns two reports: (1) a string normalisation report cleaning text fields in the supplied rows, and (2) a grouped numeric summary (descriptive statistics aggregated by company_group) for the selected field (list_price or package_quantity), covering up to 200 input rows.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, company_group, date, list_price, package_quantity) causes rejection","Invalid date format (not YYYY-MM-DD) triggers a schema validation error","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) causes a bad request"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of competitor pricing records and need both string normalisation and a grouped numeric summary (by company_group) for either list_price or package_quantity — without needing live lookups, predictions, or external data enrichment. It is a cost-effective ($0.01 USDC for both reports) local analytical option for structured competitor price data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:17.876Z","isFirstParty":false,"canonicalSlug":"competitor-supplied-prices-string-normalisation-grouped-numeric-summary-2cb3de90"}