{"uid":"cap_28vkTHEJAceAi9Qw8I84n","slug":"competitor-supplied-prices-daily-sum-series-date-by-category-pivot-3ba51f50","name":"Competitor Supplied Prices — Daily Sum Series + Date by Category Pivot","description":"Competitor supplied prices — Daily sum series + Date by category pivot: Daily sum series + Date by category pivot 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-07-143?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_XDRKlcqJHkDbV_ZzjIS32","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 a daily sum time series and a date-by-category pivot table for list_price or package_quantity fields.","exampleAgentPrompt":"Analyze these competitor price records and give me both a daily sum series and a date-by-company-group pivot for list_price — I have 4 rows: row-1 on 2026-10-01 for group-a with list_price 10 and package_quantity 1, row-2 on 2026-10-02 for group-b with list_price 20 and package_quantity 2, row-3 on 2026-10-03 for group-a with list_price 15 and package_quantity 3, row-4 on 2026-10-04 for group-b with list_price 30 and package_quantity 4.","exampleUseCases":[{"title":"Daily pricing trend for competitor monitoring","prompt":"I have weekly competitor price snapshots for two supplier groups — can you run a daily sum series and pivot by company group on list_price? Here are 5 rows: row-1 2026-11-01 group-alpha list_price 50 package_quantity 2, row-2 2026-11-02 group-beta list_price 75 package_quantity 3, row-3 2026-11-03 group-alpha list_price 45 package_quantity 2, row-4 2026-11-04 group-beta list_price 80 package_quantity 5, row-5 2026-11-05 group-alpha list_price 55 package_quantity 1."},{"title":"Package quantity distribution across competitor groups","prompt":"Give me a daily sum series and date-by-category pivot for package_quantity across these competitor records — 3 rows: row-1 2026-09-10 vendor-X package_quantity 10 list_price 100, row-2 2026-09-10 vendor-Y package_quantity 20 list_price 200, row-3 2026-09-11 vendor-X package_quantity 15 list_price 150."},{"title":"Multi-week competitor price aggregation","prompt":"Aggregate these 6 competitor pricing entries by day and pivot them by company group for list_price: row-1 2026-08-01 group-1 list_price 22 package_quantity 4, row-2 2026-08-02 group-2 list_price 18 package_quantity 2, row-3 2026-08-03 group-1 list_price 30 package_quantity 5, row-4 2026-08-04 group-2 list_price 25 package_quantity 3, row-5 2026-08-05 group-1 list_price 27 package_quantity 6, row-6 2026-08-06 group-2 list_price 35 package_quantity 7."}],"resultDescription":"Returns two analytical reports: (1) a daily sum time series showing total list_price or package_quantity aggregated by date, and (2) a pivot table with dates as rows and company_group categories as columns, showing summed values — all computed locally from the supplied rows, up to 200 records.","failureModes":["Rows array is empty or missing — minimum 1 row required","More than 200 rows supplied — request exceeds maxItems limit","Invalid date format in row — must match YYYY-MM-DD pattern","Missing required fields (row_id, company_group, date, list_price, package_quantity) in any row","Invalid field selector — must be either 'list_price' or 'package_quantity'","Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000)","Payment failure — 0.01 USDC not successfully processed via x402 protocol"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of competitor pricing records and need both a time-series daily aggregation and a category pivot in a single call for a flat $0.01 USDC fee. It is ideal for competitive intelligence workflows where you supply your own data and need fast, local analytical summaries without external data lookup or prediction capabilities.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:29.024Z","isFirstParty":false,"canonicalSlug":"competitor-supplied-prices-daily-sum-series-date-by-category-pivot-3ba51f50"}