{"uid":"cap_L1wRTAA-5Jz-2vgeVkBBF","slug":"warehouse-bins-string-normalisation-two-measure-correlation-26af9367","name":"Warehouse Bins String Normalisation + Two-Measure Correlation","description":"Warehouse bins — String normalisation + Two-measure correlation: String normalisation + Two-measure correlation 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-13-033?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}}},"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_DExNC_5oSY-SHdLOB6p_O","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":"Normalises string fields and computes a two-measure correlation between occupied_volume and available_volume for up to 200 warehouse bin records, returning two analytical reports.","exampleAgentPrompt":"I have up to 200 rows of warehouse bin data with row IDs, store groups, dates, occupied_volume, and available_volume — can you run string normalization on the store group names and compute a two-measure correlation between occupied and available volume, and give me both reports?","exampleUseCases":[{"title":"Retail warehouse capacity correlation check","prompt":"I have 150 rows of warehouse bin records from our retail stores — each row has a store group, a date, an occupied volume, and an available volume. Can you normalize the store group strings and compute a correlation between occupied and available volume, giving me both reports?"},{"title":"Multi-store bin utilisation analysis","prompt":"We track bin utilisation across store groups daily. Here are 80 records with occupied_volume and available_volume per bin. Please normalize the text fields and tell me how correlated occupied volume is with available volume across these entries."},{"title":"Inventory data cleanup and volume relationship report","prompt":"Can you take these 40 warehouse bin records — they have messy store group names, dates, and two volume columns — normalize the strings and run a two-measure correlation between occupied_volume and available_volume? I need both the normalization and correlation report."}],"resultDescription":"Two analytical reports: (1) a string normalization report cleaning and standardizing the store_group and other string fields across the submitted rows, and (2) a two-measure correlation report quantifying the statistical relationship between occupied_volume and available_volume across all submitted records. Results are derived entirely from the supplied data with no external lookups.","failureModes":["Fewer than 1 row submitted — request rejected","More than 200 rows submitted — exceeds maximum limit","Missing required fields (row_id, date, occupied_volume, available_volume) — validation error","Date field not in YYYY-MM-DD format — pattern validation failure","Numeric volume values outside ±1,000,000,000,000 range — schema rejection","Insufficient numeric variance in volume columns — correlation may be undefined or return NaN","Payment of 0.01 USDC not completed — 402 Payment Required response"],"whenToPreferThis":"Choose this endpoint when you have warehouse or retail bin data with both occupied and available volume metrics and need two things at once: cleaned, normalized string fields and a statistical correlation between those two volume measures. It is ideal for small-to-medium batch jobs (up to 200 rows) where you want a self-contained, offline analytical result with no external data lookups or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T18:34:52.446Z","isFirstParty":false,"canonicalSlug":"warehouse-bins-string-normalisation-two-measure-correlation-26af9367"}