{"uid":"cap_zXj-Gldmr4yS3hHw8xy3X","slug":"warehouse-bins-category-frequencies-date-by-category-pivot-12ca00f6","name":"Warehouse Bins Category Frequencies & Date-by-Category Pivot","description":"Warehouse bins — Category frequencies + Date by category pivot: Category frequencies + Date by category pivot for supplied warehouse bins records (occupied_volume, available_volume). 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-retail-13-110?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","store_group","date","occupied_volume","available_volume"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"store_group":{"type":"string","default":"","maxLength":80},"occupied_volume":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"available_volume":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","store_group":"group-a","occupied_volume":10,"available_volume":1},{"date":"2026-10-02","row_id":"row-2","store_group":"group-b","occupied_volume":20,"available_volume":2},{"date":"2026-10-03","row_id":"row-3","store_group":"group-a","occupied_volume":15,"available_volume":3},{"date":"2026-10-04","row_id":"row-4","store_group":"group-b","occupied_volume":30,"available_volume":4}],"maxItems":200,"minItems":1},"field":{"enum":["occupied_volume","available_volume"],"type":"string","default":"occupied_volume"}}},"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_zUil9TzzdMY-lcJpawwBu","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 warehouse bin records to produce category frequency counts and a date-by-category pivot table for occupied and available volume fields.","exampleAgentPrompt":"I have up to 200 rows of warehouse bin records with store groups, dates, occupied volumes, and available volumes — can you run a category frequency report and a date-by-category pivot on the occupied_volume field for me?","exampleUseCases":[{"title":"Store group utilization frequency audit","prompt":"I have warehouse bin records for four store groups across October — can you give me a category frequency breakdown and a date-by-category pivot on occupied_volume so I can see which groups dominate utilization?"},{"title":"Available capacity pivot by date","prompt":"Here are 150 rows of warehouse bin data with dates, store groups, and available_volume readings — run both the category frequency report and the date-by-category pivot on available_volume so I can spot capacity patterns."},{"title":"Multi-site retail bin usage summary","prompt":"I need to analyze warehouse bin records across multiple retail store groups — please compute the category frequencies and a date-by-store-group pivot for the occupied_volume field using the rows I'll supply."}],"resultDescription":"Returns two analytical reports: (1) a category frequency table showing how often each store_group value appears in the supplied rows, and (2) a date-by-category pivot table showing aggregated values of the selected field (occupied_volume or available_volume) broken down by date and store_group. Both reports are computed locally on the supplied data with no external lookups.","failureModes":["Fewer than 1 row supplied — request rejected","More than 200 rows submitted — exceeds row limit","Invalid date format (not YYYY-MM-DD) — schema validation error","Missing required fields (row_id, store_group, date) — validation failure","Invalid field enum value — must be occupied_volume or available_volume","Numeric values outside allowed range (±1,000,000,000,000) — validation error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of warehouse bin records and need both a category frequency count by store group and a date-by-category pivot for volume fields in a single low-cost call. Ideal for retail/warehouse analysts who supply their own data and want fast local analytical summaries without external data dependencies or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-03T12:42:05.050Z","isFirstParty":false,"canonicalSlug":"warehouse-bins-category-frequencies-date-by-category-pivot-12ca00f6"}