{"uid":"cap_jQ25yvHuGihtrvVvViuTe","slug":"competitor-supplied-prices-category-frequencies-adjacent-row-changes-beb44f98","name":"Competitor Supplied Prices — Category Frequencies + Adjacent Row Changes","description":"Competitor supplied prices — Category frequencies + Adjacent row changes: Category frequencies + Adjacent row changes 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-07-104?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_7o9aNKV9NZoRv4ItEtaQd","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 price records, producing two local analytical reports: category frequency distribution and adjacent row changes for list_price or package_quantity.","exampleAgentPrompt":"I have competitor price records with list prices and package quantities across company groups — can you run the category frequency and adjacent row changes analysis on them for the list_price field? Here are up to 200 rows with row_id, company_group, date, list_price, and package_quantity.","exampleUseCases":[{"title":"Competitor pricing shift detection","prompt":"I've got 150 rows of competitor pricing data with dates, company groups, list prices, and package quantities — can you show me how the list_price changes between adjacent rows so I can spot sudden price shifts?"},{"title":"Category frequency breakdown by company group","prompt":"Run a category frequency analysis on my competitor price dataset (about 80 rows, each with a company_group, date, list_price, and package_quantity) so I can see which company groups appear most often and how prices are distributed."},{"title":"Package quantity pattern analysis","prompt":"I have 200 rows of supplied competitor data including package quantities and list prices across multiple groups and dates — can you generate both the category frequencies and adjacent row changes reports for the package_quantity field?"}],"resultDescription":"Returns two analytical reports based on the supplied rows: (1) a category frequency table showing how often each company_group (and related categories) appears across the dataset, and (2) an adjacent row changes report showing the delta in the selected field (list_price or package_quantity) between consecutive rows. No external data is fetched; all analysis is local.","failureModes":["Input array has zero rows — violates minItems:1 constraint","More than 200 rows supplied — exceeds maxItems:200 limit","Missing required fields (row_id, company_group, date, list_price, package_quantity) on any row","Date format does not match YYYY-MM-DD pattern","Field selector value not in enum ['list_price','package_quantity']","Payment not completed — x402 protocol requires 0.01 USDC per call"],"whenToPreferThis":"Choose this endpoint when you have pre-collected competitor pricing records (list_price, package_quantity) and need two quick local analytical reports — category frequency distribution and adjacent row-to-row changes — without any external lookup, prediction, or live data fetching. It is ideal for batch offline analysis of up to 200 rows at very low cost ($0.01 USDC for both reports).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:25.014Z","isFirstParty":false,"canonicalSlug":"competitor-supplied-prices-category-frequencies-adjacent-row-changes-beb44f98"}