{"uid":"cap_KBmBsGncGBEOtl-9E0ATD","slug":"replenishment-timing-data-auditor-record-quality-string-normalisation-532847f3","name":"Replenishment Timing Data Auditor — Record Quality, String Normalisation & Base-100 Series","description":"Replenishment timing — Record quality audit + String normalisation + Base-100 series: Record quality audit + String normalisation + Base-100 series 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-12-201?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},"field":{"enum":["lead_days","received_units"],"type":"string","default":"lead_days"},"base_index":{"type":"integer","default":0,"maximum":199,"minimum":0}}},"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_NtM_iTp7BZYxV1L3lHRZQ","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 local analytical reports on replenishment timing rows (lead_days, received_units): a record quality audit, string normalisation, and a base-100 indexed series.","exampleAgentPrompt":"Can you run a record quality audit, string normalisation, and base-100 series on my replenishment timing data? Here are up to 200 rows with row_id, store_group, date, lead_days, and received_units — use lead_days as the field and row 0 as the base index.","exampleUseCases":[{"title":"Inventory data quality check before reporting","prompt":"I have 150 replenishment timing records with lead_days and received_units — can you audit them for quality issues, normalise the store_group strings, and give me a base-100 index of lead_days starting from the first row?"},{"title":"Supply chain analyst baseline indexing","prompt":"Run a base-100 series on the received_units field across my replenishment rows, plus a record quality audit and string normalisation — I have about 80 rows from three store groups and want to spot anomalies."},{"title":"Retail ops data cleaning before pipeline load","prompt":"Before I load this batch of 200 replenishment timing rows into our pipeline, can you check record quality, normalise the store_group strings, and produce a base-100 lead_days series using row index 0 as the base?"}],"resultDescription":"Three independent analytical reports returned together: (1) a record quality audit flagging missing, null, or out-of-range values in the supplied rows; (2) a string normalisation report on text fields like store_group; (3) a base-100 indexed series for the selected numeric field (lead_days or received_units) anchored to the specified base_index row. All computed locally with no external lookups.","failureModes":["Exceeding 200 rows returns a validation error","Invalid date format (not YYYY-MM-DD) causes row rejection","Missing required fields (row_id, store_group, date, lead_days, received_units) cause schema validation failure","base_index out of range (>= number of rows) returns an error","Null numeric values in the base_index row may cause base-100 calculation failure"],"whenToPreferThis":"Use this endpoint when you have up to 200 replenishment timing records and need all three of a quality audit, string normalisation, and base-100 series in a single low-cost call. Ideal for retail or supply chain pipelines needing lightweight, local, offline data validation and indexing without any external data lookups or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T12:48:34.774Z","isFirstParty":false,"canonicalSlug":"replenishment-timing-data-auditor-record-quality-string-normalisation-532847f3"}