{"uid":"cap_NFJhLnSa3MdkE13lEw-M7","slug":"competitor-supplied-prices-equal-width-histogram-date-by-category-pivot-3602e603","name":"Competitor Supplied Prices — Equal-Width Histogram + Date by Category Pivot","description":"Competitor supplied prices — Equal-width histogram + Date by category pivot: Equal-width histogram + 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-07-173?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"bins":{"type":"integer","default":5,"maximum":30,"minimum":1},"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__SmN57eOhUORUTS0RhWxM","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":"Generates two local analytical reports (equal-width histogram and date-by-category pivot) on up to 200 rows of competitor price data, analyzing list_price or package_quantity fields grouped by company and date.","exampleAgentPrompt":"I have 150 competitor pricing records with list prices and package quantities grouped by company — can you run an equal-width histogram with 10 bins on the list_price field and also generate a date-by-category pivot for these rows?","exampleUseCases":[{"title":"Competitor price spread analysis","prompt":"I've collected 120 rows of competitor pricing data with list prices and company groups — can you build a 10-bin equal-width histogram on the list_price field and also give me a date-by-category pivot so I can see how prices cluster and how each competitor's pricing changes over time?"},{"title":"Package quantity distribution review","prompt":"Here are 80 competitor records with package_quantity values across two company groups and several dates — run a histogram with 8 bins on the package_quantity field and a date-by-category pivot so I can understand the distribution and see trends by company over time."},{"title":"Monthly competitive pricing report","prompt":"I have a fresh batch of 200 competitor supplied price rows from this quarter, each tagged with a company group and date — please generate a 5-bin equal-width histogram and a date-by-category pivot on the list_price field so I can summarize the competitive landscape for my monthly report."}],"resultDescription":"Returns two analytical reports: (1) an equal-width histogram showing frequency distribution of the selected numeric field (list_price or package_quantity) across the specified number of bins, and (2) a date-by-category pivot table breaking down values by company_group and date. Both reports are computed locally on the supplied data with no external lookups.","failureModes":["More than 200 rows submitted — request exceeds the maximum row limit","Invalid date format in any row (must match YYYY-MM-DD pattern)","Missing required fields (row_id, company_group, date, list_price, or package_quantity) in any row","bins value outside allowed range of 1–30","Non-numeric values supplied for list_price or package_quantity when not null","Empty rows array provided"],"whenToPreferThis":"Choose this endpoint when you have already collected competitor price data (up to 200 rows) and need both a distribution histogram and a date-by-category pivot in a single low-cost call. Ideal for offline batch analysis of competitor pricing without requiring any external data lookups, predictions, or live market feeds. Best suited for structured datasets with company_group, date, list_price, and package_quantity fields.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:45:40.010Z","isFirstParty":false,"canonicalSlug":"competitor-supplied-prices-equal-width-histogram-date-by-category-pivot-3602e603"}