{"uid":"cap_UXKc3UM4ubamKIWx9km5b","slug":"inventory-counts-numeric-distribution-c6b357cc","name":"Inventory Counts Numeric Distribution","description":"Inventory counts - Numeric distribution: Numeric distribution for Inventory counts. Up to 200 supplied typed records. Local numeric and data-quality processing; no external enrichment or forecasting. One of 25 profiles or calculations across 20 shared operations in this sector. 0.01 USDC includes one bounded numeric distribution deliverable.","url":"https://market.datapackvibe.com/x402/assistant-sector-analytics-inventory-counts-describe?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","warehouse","date","book_units","counted_units"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"warehouse":{"type":"string","default":"","maxLength":80},"book_units":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"counted_units":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","warehouse":"group-a","book_units":10,"counted_units":1},{"date":"2026-10-02","row_id":"row-2","warehouse":"group-b","book_units":20,"counted_units":2},{"date":"2026-10-03","row_id":"row-3","warehouse":"group-a","book_units":15,"counted_units":3},{"date":"2026-10-04","row_id":"row-4","warehouse":"group-b","book_units":30,"counted_units":4}],"maxItems":200,"minItems":1},"field":{"enum":["book_units","counted_units"],"type":"string","default":"book_units"}}},"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_WDGllyN-2cv2_1lua-u6E","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":"Computes a numeric distribution profile (histogram/summary statistics) for inventory count fields (book_units or counted_units) across up to 200 supplied warehouse records.","exampleAgentPrompt":"Can you run a numeric distribution on my inventory count data — I have about 80 records with warehouse, date, book_units, and counted_units fields — and analyze the distribution of the book_units column?","exampleUseCases":[{"title":"Warehouse cycle count variance analysis","prompt":"I've got 150 inventory count records from our cycle counts this quarter, each with a row ID, warehouse name, date, book units, and counted units. Can you compute the numeric distribution for the counted_units field so I can see how spread out our counts are?"},{"title":"Book inventory data quality check","prompt":"Before I run a reconciliation report, can you profile the numeric distribution of book_units across these 90 inventory records to flag any outliers or data quality issues?"},{"title":"Multi-warehouse stock level profiling","prompt":"I have inventory records from three different warehouses over the past month — about 120 rows total. Can you describe the numeric distribution of the book_units field so I can see how stock levels are distributed across those locations?"}],"resultDescription":"Returns a bounded numeric distribution deliverable for the selected field (book_units or counted_units) across the supplied records, including statistical summary metrics such as min, max, mean, median, quartiles, and frequency/histogram data, plus data quality indicators — all computed locally without external enrichment.","failureModes":["Empty or missing rows array returns validation error","More than 200 rows supplied exceeds maxItems limit","Invalid date format (not YYYY-MM-DD) triggers schema rejection","Missing required fields (row_id, warehouse, date, book_units, counted_units) causes row rejection","Invalid field enum value (not book_units or counted_units) returns error","All null values in the selected field may yield degenerate distribution output"],"whenToPreferThis":"Choose this endpoint when you need fast, local statistical distribution profiling of inventory count data (book_units or counted_units) across up to 200 records, with no external API dependencies. It is ideal for data quality checks, cycle count variance analysis, or pre-reconciliation data exploration where you want a numeric shape summary without triggering external enrichment or forecasting services.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:47:22.633Z","isFirstParty":false,"canonicalSlug":"inventory-counts-numeric-distribution-c6b357cc"}