{"uid":"cap_4clcaorC8LEp7rDxpPqpe","slug":"warehouse-movements-two-measure-correlation-c343d66e","name":"Warehouse Movements Two-Measure Correlation","description":"Warehouse movements - Two-measure correlation: Two-measure correlation for Warehouse movements. 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 two-measure correlation deliverable.","url":"https://market.datapackvibe.com/x402/assistant-sector-analytics-warehouse-movements-correlation?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","location","date","received_units","dispatched_units"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"location":{"type":"string","default":"","maxLength":80},"received_units":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dispatched_units":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","location":"group-a","received_units":10,"dispatched_units":1},{"date":"2026-10-02","row_id":"row-2","location":"group-b","received_units":20,"dispatched_units":2},{"date":"2026-10-03","row_id":"row-3","location":"group-a","received_units":15,"dispatched_units":3},{"date":"2026-10-04","row_id":"row-4","location":"group-b","received_units":30,"dispatched_units":4}],"maxItems":200,"minItems":1}}},"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_skzvNkbxVJVwpjQBebmsn","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 the statistical correlation between received_units and dispatched_units across up to 200 warehouse movement records, returning a bounded correlation deliverable with local numeric processing.","exampleAgentPrompt":"Can you run a two-measure correlation on these warehouse movement records to see how closely received units and dispatched units track each other? I have 4 rows: location group-a received 10 and dispatched 1 on 2026-10-01, group-b received 20 and dispatched 2 on 2026-10-02, group-a received 15 and dispatched 3 on 2026-10-03, and group-b received 30 and dispatched 4 on 2026-10-04.","exampleUseCases":[{"title":"Inbound-outbound flow alignment check","prompt":"I want to know how well our receiving volume predicts dispatching volume — run a correlation on these 50 daily warehouse movement records across our distribution centers so I can see if the two measures move together."},{"title":"Multi-location warehouse throughput analysis","prompt":"We have warehouse data for 3 locations over the past month — can you calculate the correlation between received units and dispatched units across all 120 records to understand if inventory flow is balanced?"},{"title":"Supply chain efficiency benchmarking","prompt":"Can you compute the statistical correlation between received and dispatched units for this batch of warehouse movement data? I need to validate whether our fulfillment rate is consistently proportional to intake volumes."}],"resultDescription":"Returns a bounded two-measure correlation deliverable quantifying the statistical relationship (correlation coefficient and associated data-quality indicators) between received_units and dispatched_units across the supplied warehouse movement records. Processing is local and numeric with no external enrichment.","failureModes":["Fewer than 1 row supplied — minimum items validation error","More than 200 rows supplied — maxItems constraint violation","Invalid date format (not YYYY-MM-DD) — pattern validation failure","Missing required fields (row_id, location, date, received_units, dispatched_units) — schema validation error","All values for one measure are null — insufficient numeric data for correlation","Constant variance in one measure — correlation undefined or returns NaN","Extra properties in row objects — additionalProperties:false rejection"],"whenToPreferThis":"Choose this endpoint when you need a quick, local statistical correlation between two numeric warehouse movement measures (received vs dispatched units) on a small-to-medium dataset (up to 200 records) without requiring external enrichment, forecasting, or multi-measure analysis. It is purpose-built for logistics and warehouse analytics workflows where data privacy matters and results need to be bounded and auditable. Prefer alternatives if you need forecasting, more than two measures, or datasets exceeding 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:58:30.333Z","isFirstParty":false,"canonicalSlug":"warehouse-movements-two-measure-correlation-c343d66e"}