{"uid":"cap_x_wONnJV5JVktbjtBmIvM","slug":"supplier-fill-string-normalisation-secondary-measure-weighted-mean-a8c90106","name":"Supplier Fill — String Normalisation + Secondary-Measure Weighted Mean","description":"Supplier fill — String normalisation + Secondary-measure weighted mean: String normalisation + Secondary-measure weighted mean for supplied supplier fill records (ordered_units, received_units). 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-06-034?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","store_group","date","ordered_units","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},"store_group":{"type":"string","default":"","maxLength":80},"ordered_units":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"received_units":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","store_group":"group-a","ordered_units":10,"received_units":1},{"date":"2026-10-02","row_id":"row-2","store_group":"group-b","ordered_units":20,"received_units":2},{"date":"2026-10-03","row_id":"row-3","store_group":"group-a","ordered_units":15,"received_units":3},{"date":"2026-10-04","row_id":"row-4","store_group":"group-b","ordered_units":30,"received_units":4}],"maxItems":200,"minItems":1},"field":{"enum":["ordered_units","received_units"],"type":"string","default":"ordered_units"}}},"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_8RBB6KdWzk9zh-YvoIISL","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 store group strings and computes a secondary-measure weighted mean for supplier fill records (ordered_units, received_units) across up to 200 rows.","exampleAgentPrompt":"Can you run string normalisation and a secondary-measure weighted mean on my supplier fill records? Here are up to 200 rows with row_id, store_group, date, ordered_units, and received_units — use ordered_units as the field.","exampleUseCases":[{"title":"Retail supplier fill rate analysis","prompt":"I have 150 rows of supplier fill data with store groups, dates, ordered_units, and received_units. Can you normalise the store group strings and compute a weighted mean for ordered_units across all rows?"},{"title":"Cleaning messy store group labels","prompt":"My supplier records have inconsistent store group names — things like 'Group A', 'group-a', 'GROUP A'. Can you normalise those strings and then give me the secondary-measure weighted mean for received_units across the cleaned groups?"},{"title":"Procurement reporting for multiple store groups","prompt":"I need two quick reports on my supplier fill dataset — string normalisation on store_group and a secondary-measure weighted mean on received_units. I have 80 rows with row_id, store_group, date, ordered_units, and received_units."}],"resultDescription":"Returns two local analytical reports: (1) a string normalisation report cleaning store_group values across all submitted rows, and (2) a secondary-measure weighted mean report for the selected numeric field (ordered_units or received_units), with results computed entirely from the supplied data without any external lookup or prediction.","failureModes":["Missing required fields (row_id, date, ordered_units, received_units) causes validation error","More than 200 rows submitted — exceeds maxItems limit","Invalid date format (non-YYYY-MM-DD) triggers pattern validation failure","Both ordered_units and received_units null for all rows — weighted mean undefined","Invalid field enum value (not 'ordered_units' or 'received_units') rejected","Payment not provided or insufficient USDC balance blocks execution"],"whenToPreferThis":"Choose this endpoint when you have tabular supplier fill data (ordered_units, received_units) with potentially inconsistent store group labels and need both string normalisation and a weighted mean computed locally from supplied data — no external data sources, predictions, or live lookups required. It is cost-effective at $0.01 USDC for two reports on up to 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:32:56.953Z","isFirstParty":false,"canonicalSlug":"supplier-fill-string-normalisation-secondary-measure-weighted-mean-a8c90106"}