{"uid":"cap_F-oH03dfoVQ7zcqVdQohf","slug":"warehouse-bins-data-quality-audit-record-quality-string-normalisation-c40f4530","name":"Warehouse Bins Data Quality Audit — Record Quality, String Normalisation & Adjacent Row Changes","description":"Warehouse bins — Record quality audit + String normalisation + Adjacent row changes: Record quality audit + String normalisation + Adjacent row changes for supplied warehouse bins records (occupied_volume, available_volume). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-retail-13-200?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_55ZAquHKfh1w_qwDj-2he","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":"Runs three independent analytical reports (record quality audit, string normalisation, and adjacent row changes) on up to 200 warehouse bin records containing occupied_volume and available_volume fields.","exampleAgentPrompt":"Can you run a full data quality audit, string normalisation, and adjacent row change analysis on these warehouse bin records I have — rows with occupied_volume and available_volume across store groups — and focus the row change report on occupied_volume? I have about 50 rows to check.","exampleUseCases":[{"title":"Pre-pipeline warehouse data validation","prompt":"Before I load this batch of 120 warehouse bin records into our data warehouse, can you check them for quality issues, normalise the store_group strings, and flag any suspicious jumps between adjacent rows in available_volume?"},{"title":"Retail inventory data health check","prompt":"I've got end-of-month bin occupancy data for all our retail store groups — around 80 rows with occupied_volume and available_volume. Can you audit the record quality, clean up any string formatting issues, and show me where available_volume changed significantly between consecutive rows?"},{"title":"Identifying data entry errors in bin records","prompt":"We suspect someone entered bad data in our warehouse bin logs. Can you run a quality audit and adjacent row change detection on these 35 records, focusing the change analysis on occupied_volume, and also normalise the store group name strings?"}],"resultDescription":"Returns three independent reports: (1) a record quality audit flagging missing, malformed, or out-of-range values; (2) a string normalisation report identifying and correcting inconsistencies in string fields like store_group; (3) an adjacent row changes report showing row-over-row differences in the selected numeric field (occupied_volume or available_volume). All analysis is performed locally on the supplied data with no external lookups.","failureModes":["Submitting more than 200 rows returns a validation error","Missing required fields (row_id, date, occupied_volume, available_volume) cause rejection","Malformed date strings not matching YYYY-MM-DD pattern cause input validation failure","Empty rows array returns an error","Invalid field enum value (not occupied_volume or available_volume) causes rejection"],"whenToPreferThis":"Choose this endpoint when you need a combined data quality audit, string normalisation, and sequential change detection on warehouse bin records in a single low-cost call. It is ideal for pre-pipeline validation of retail inventory data or batch data health checks where no external lookup, prediction, or live data is needed. It is not appropriate for real-time monitoring, predictive analytics, or datasets exceeding 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T18:34:17.559Z","isFirstParty":false,"canonicalSlug":"warehouse-bins-data-quality-audit-record-quality-string-normalisation-c40f4530"}