{"uid":"cap_QsF1HkHnj6y8wvCYIiQr7","slug":"warehouse-bins-numeric-row-ordering-date-by-category-pivot-e588206b","name":"Warehouse Bins Numeric Row Ordering + Date by Category Pivot","description":"Warehouse bins — Numeric row ordering + Date by category pivot: Numeric row ordering + 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-13-122?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_7nlqTVsvyFWHczGaY1TGA","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":"Performs numeric row ordering and date-by-category pivot analysis on user-supplied warehouse bin records (occupied_volume, available_volume) for up to 200 rows, returning 2 independent analytical reports.","exampleAgentPrompt":"I have warehouse bin data for 4 bins across two store groups — row-1 through row-4 from October 2026 with occupied_volume values of 10, 20, 15, and 30 — can you run the numeric row ordering and date-by-category pivot reports on the occupied_volume field?","exampleUseCases":[{"title":"Warehouse capacity utilization ranking","prompt":"I have 50 warehouse bins with their occupied and available volumes recorded daily over the past month. Can you rank them numerically by occupied_volume and also pivot the data by date and store group so I can see how each category's storage usage changed over time?"},{"title":"Retail store group bin comparison","prompt":"Here are 120 bin records from our two retail store groups with dates and available_volume figures — please run the numeric row ordering and date pivot reports on available_volume so I can see which groups have the most free space and how it trends by date."},{"title":"End-of-quarter warehouse bin audit","prompt":"I've got end-of-quarter data for 80 warehouse bins across three store groups. Run the numeric row ordering and date-by-category pivot on occupied_volume so I can identify the fullest bins and see volume patterns by store group over the quarter."}],"resultDescription":"Two independent analytical reports: (1) a numeric row ordering report that ranks the supplied bin rows by the chosen volume metric (occupied_volume or available_volume), and (2) a date-by-category pivot report that cross-tabulates volume values by date and store group. Both reports are computed locally from the supplied data with no external lookups.","failureModes":["Missing required fields (row_id, store_group, date, occupied_volume, available_volume) cause validation errors","Date strings not matching YYYY-MM-DD pattern are rejected","Exceeding 200 rows returns an error","Invalid field enum value (not 'occupied_volume' or 'available_volume') causes rejection","Null volume values may affect ordering or pivot calculations","Empty rows array is not accepted (minItems: 1)"],"whenToPreferThis":"Choose this endpoint when you have warehouse bin records with volume metrics and need both a ranked ordering of bins and a date-by-store-group pivot in a single low-cost call. It is ideal for offline/batch analytical reporting on supplied data rather than live inventory lookups. It bundles two reports for $0.01 USDC, making it cost-efficient for small-to-medium datasets up to 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-03T12:42:05.051Z","isFirstParty":false,"canonicalSlug":"warehouse-bins-numeric-row-ordering-date-by-category-pivot-e588206b"}