{"uid":"cap_5Yok5-qjMnLwcqol6GFUf","slug":"supplier-fill-string-normalisation-date-by-category-pivot-3d72eba3","name":"Supplier Fill String Normalisation + Date by Category Pivot","description":"Supplier fill — String normalisation + Date by category pivot: String normalisation + Date by category pivot 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-06-035?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_Jdjki5Av7dBK6KIJtICnC","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 two local analytical reports on supplier fill data: string normalisation and a date-by-category pivot for ordered_units or received_units across up to 200 rows.","exampleAgentPrompt":"Take these supplier fill records for store groups group-a and group-b from October 2026 and give me two reports: one that normalises the string fields and one that pivots ordered_units by date and category.","exampleUseCases":[{"title":"Retail fill rate category breakdown","prompt":"I have 150 rows of supplier fill data for Q4 with store_group and date fields — can you pivot received_units by date and store category so I can see which groups are underperforming?"},{"title":"String cleanup for supplier records","prompt":"My supplier fill export has messy store_group strings across 80 rows — run the string normalisation report on ordered_units so the category labels are consistent before I load them into the dashboard."},{"title":"Weekly ordered vs received summary","prompt":"Here are 200 rows of supplier fill records from last week — pivot ordered_units by date and store_group so I can see the daily totals per category in one clean table."}],"resultDescription":"Two structured analytical reports: (1) a string-normalised view of the supplier fill rows cleaning up store_group and other string fields, and (2) a pivot table breaking the chosen metric (ordered_units or received_units) down by date and store_group category — both derived purely from the supplied input rows with no external lookups.","failureModes":["Rows array is empty or exceeds 200 items — validation error returned","date field does not match YYYY-MM-DD pattern — schema validation failure","ordered_units or received_units values outside allowed numeric range — rejected","field enum value not one of ordered_units or received_units — invalid input error","Missing required fields (row_id, store_group, date) on any row — request rejected"],"whenToPreferThis":"Choose this endpoint when you have up to 200 supplier fill rows with store_group and date dimensions and need both a string normalisation pass and a date-by-category pivot in a single low-cost call, without needing live data lookups, external enrichment, or predictive analytics.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T18:50:48.754Z","isFirstParty":false,"canonicalSlug":"supplier-fill-string-normalisation-date-by-category-pivot-3d72eba3"}