{"uid":"cap_LqPLoVuthh4wXbBMKgi6y","slug":"competitor-supplied-prices-daily-sum-series-adjacent-row-changes-6588c857","name":"Competitor Supplied Prices — Daily Sum Series + Adjacent Row Changes","description":"Competitor supplied prices — Daily sum series + Adjacent row changes: Daily sum series + 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-07-137?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_E8yCPs86DqAb5_7pqJfII","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":"Computes a daily sum time series and adjacent row changes for up to 200 supplied competitor price records (list_price or package_quantity) using local analytical engines.","exampleAgentPrompt":"I have competitor pricing records with dates, company groups, list prices, and package quantities — can you run a daily sum series and adjacent row changes report on the list_price field for these rows: [{\"row_id\":\"r1\",\"company_group\":\"brand-a\",\"date\":\"2026-10-01\",\"list_price\":10,\"package_quantity\":1},{\"row_id\":\"r2\",\"company_group\":\"brand-b\",\"date\":\"2026-10-02\",\"list_price\":20,\"package_quantity\":2}]?","exampleUseCases":[{"title":"Track competitor price swings over time","prompt":"I've got 150 rows of competitor supplied price data with dates and company groups — run a daily sum series and adjacent row changes analysis on the list_price field so I can see how prices are shifting day to day."},{"title":"Monitor package quantity trends by day","prompt":"Can you analyze these competitor records and give me a daily sum series plus adjacent row changes for the package_quantity field? I want to spot any unusual jumps between consecutive days across these company groups."},{"title":"Compare competitor pricing across brands","prompt":"I have price data from three competitor groups over the past month — about 80 rows — please compute the daily total list_price sums and the changes between consecutive rows so I can compare how each brand is moving."}],"resultDescription":"Two analytical reports: (1) a daily sum series aggregating the selected field (list_price or package_quantity) by date, and (2) adjacent row changes showing the difference between consecutive records — both computed locally on the supplied data, up to 200 rows.","failureModes":["Missing required fields (row_id, company_group, date, list_price, or package_quantity) cause validation errors","Date strings not matching YYYY-MM-DD pattern are rejected","More than 200 rows submitted exceeds the maxItems limit and returns an error","Invalid field enum value (not list_price or package_quantity) causes a schema error","Empty rows array (minItems:1 violated) returns an error","Payment not included or insufficient USDC causes a 402 response"],"whenToPreferThis":"Use this endpoint when you have up to 200 rows of competitor pricing data already on hand and need two standard analytical reports — a daily sum series and adjacent row changes — computed locally without any live data lookup, prediction, or external API calls. It is ideal for lightweight competitive pricing analysis pipelines where you supply the data and need structured time series aggregations and sequential difference calculations in one low-cost call.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:40:07.757Z","isFirstParty":false,"canonicalSlug":"competitor-supplied-prices-daily-sum-series-adjacent-row-changes-6588c857"}