{"uid":"cap_Qi1e5JhpA4Fh86YHmrxHL","slug":"competitor-supplied-prices-numeric-row-ordering-daily-sum-series-589908b4","name":"Competitor Supplied Prices — Numeric Row Ordering + Daily Sum Series","description":"Competitor supplied prices — Numeric row ordering + Daily sum series: Numeric row ordering + Daily sum series 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-07-114?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_X0O7TiTn8aMr97KpcqIml","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 pricing data, returning two local analytical reports: a numeric row ordering and a daily sum series for list_price or package_quantity fields.","exampleAgentPrompt":"I have competitor price data for groups A and B across 4 dates — can you rank those rows numerically and also give me the daily sum series for list_price? Here are the rows: [{\"row_id\":\"row-1\",\"company_group\":\"group-a\",\"date\":\"2026-10-01\",\"list_price\":10,\"package_quantity\":1},{\"row_id\":\"row-2\",\"company_group\":\"group-b\",\"date\":\"2026-10-02\",\"list_price\":20,\"package_quantity\":2}]","exampleUseCases":[{"title":"Rank competitor prices for procurement review","prompt":"I've collected list prices from three competitor groups across 30 days — can you sort those rows in numeric order and show me the daily sums for list_price so I can see which days had the highest total competitor pricing?"},{"title":"Daily package quantity totals by date","prompt":"Here's my competitor dataset with package_quantity and list_price fields across 60 rows — please give me the numeric row ordering and the daily sum series using package_quantity as the target field."},{"title":"Competitive pricing trend summary for weekly report","prompt":"I need two quick reports on this competitor pricing data: sort the 150 rows numerically by list_price and aggregate the daily sums for list_price so I can spot pricing spikes across company groups."}],"resultDescription":"Two analytical reports: (1) the input rows reordered numerically by the selected field (list_price or package_quantity), and (2) a daily sum series aggregating the selected field values by date — all computed locally with no external lookups.","failureModes":["More than 200 rows submitted — endpoint rejects or truncates input","Invalid date format (not YYYY-MM-DD) causes validation error","Missing required fields (row_id, company_group, date) results in schema rejection","Null values in the target field may affect sum calculations","Invalid field enum value (not list_price or package_quantity) causes error"],"whenToPreferThis":"Use this endpoint when you have up to 200 rows of competitor pricing records and need both a numerically ordered ranking and a daily aggregated sum series in a single low-cost call. Prefer it over general analytics tools when you want a lightweight, offline computation without external API dependencies or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:45:55.011Z","isFirstParty":false,"canonicalSlug":"competitor-supplied-prices-numeric-row-ordering-daily-sum-series-589908b4"}