{"uid":"cap_yg_y8hv8lSwFWpl8eJl9U","slug":"replenishment-timing-data-quality-suite-6b3c7e9e","name":"Replenishment Timing Data Quality Suite","description":"Replenishment timing — Record quality audit + String normalisation + Duplicate key report: Record quality audit + String normalisation + Duplicate key report for supplied replenishment timing records (lead_days, received_units). 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-12-192?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","store_group","date","lead_days","received_units"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"lead_days":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"store_group":{"type":"string","default":"","maxLength":80},"received_units":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","lead_days":10,"store_group":"group-a","received_units":1},{"date":"2026-10-02","row_id":"row-2","lead_days":20,"store_group":"group-b","received_units":2},{"date":"2026-10-03","row_id":"row-3","lead_days":15,"store_group":"group-a","received_units":3},{"date":"2026-10-04","row_id":"row-4","lead_days":30,"store_group":"group-b","received_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_sUkXQ5OZFbvpTNz3vidWm","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 data quality reports (record quality audit, string normalisation, and duplicate key detection) on replenishment timing records containing lead days and received units fields.","exampleAgentPrompt":"Can you run a full data quality check on my replenishment timing records — I need a record quality audit, string normalisation, and duplicate key report for these rows with lead_days and received_units? Here are up to 200 rows from our store groups.","exampleUseCases":[{"title":"Pre-import replenishment data validation","prompt":"Before I load these replenishment timing records into our warehouse system, can you audit them for quality issues, normalise any inconsistent store_group strings, and flag any duplicate row IDs? I have about 150 rows with lead_days and received_units values."},{"title":"Duplicate store group key detection","prompt":"I suspect our replenishment dataset has duplicate entries — can you run a duplicate key report on these rows covering store groups and dates, and also give me the record quality audit and string normalisation report at the same time?"},{"title":"Lead days data cleansing for retail planning","prompt":"We're preparing our replenishment lead time data for a retail planning review — can you check the data quality, clean up any string inconsistencies in the store_group field, and identify any duplicate records across these 80 rows?"}],"resultDescription":"Three independent analytical reports returned together: (1) a record quality audit flagging malformed, missing, or out-of-range values in lead_days and received_units; (2) a string normalisation report identifying and correcting inconsistencies in text fields like store_group; (3) a duplicate key report identifying rows with repeated identifiers or key combinations — all computed locally against the supplied data, no external lookups.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required fields (row_id, store_group, date, lead_days, received_units) — validation error","Invalid date format not matching YYYY-MM-DD pattern — schema rejection","Numeric values outside allowed range (-1000000000000 to 1000000000000) — schema rejection","Empty rows array (minItems: 1 not met) — request rejected"],"whenToPreferThis":"Choose this endpoint when you need three bundled data quality operations (audit, string normalisation, duplicate detection) on replenishment timing data in a single low-cost call. It is ideal for pre-import validation of supply chain datasets up to 200 rows where no live data lookup or external enrichment is needed. It is not suitable for real-time inventory predictions, forecasting, or datasets exceeding 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T12:45:46.665Z","isFirstParty":false,"canonicalSlug":"replenishment-timing-data-quality-suite-6b3c7e9e"}