{"uid":"cap_Ylq7q_HNg3oLoqXxuHmQF","slug":"supplier-fill-adjacent-row-changes-and-date-by-category-pivot-5e783bcd","name":"Supplier Fill Adjacent Row Changes and Date by Category Pivot","description":"Supplier fill — Adjacent row changes + Date by category pivot: Adjacent row changes + 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-06-160?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_aeAzZKPmOZfxIKeWbARtw","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":"Analyzes supplier fill records (ordered_units, received_units) by computing adjacent row changes and a date-by-category pivot table, returning two local analytical reports for up to 200 rows.","exampleAgentPrompt":"Can you run two supplier fill reports on these 4 rows of store group data — one showing adjacent row changes and one pivoting ordered_units by date and store group? Here are the rows: row-1 group-a 2026-10-01 ordered=10 received=1, row-2 group-b 2026-10-02 ordered=20 received=2, row-3 group-a 2026-10-03 ordered=15 received=3, row-4 group-b 2026-10-04 ordered=30 received=4, and use ordered_units as the field.","exampleUseCases":[{"title":"Weekly store fill rate change tracking","prompt":"I have a week's worth of supplier fill records across two store groups — can you show me the row-over-row changes in ordered_units and also pivot them by date and store group? I'll give you the rows: row-1 group-a 2026-10-01 ordered=10 received=1, row-2 group-b 2026-10-02 ordered=20 received=2, row-3 group-a 2026-10-03 ordered=15 received=3, row-4 group-b 2026-10-04 ordered=30 received=4."},{"title":"Received units discrepancy analysis","prompt":"Can you analyze these supplier fill records for adjacent changes and give me a date-by-store-group pivot for received_units? Here are my rows: row-1 group-a 2026-10-01 ordered=50 received=45, row-2 group-a 2026-10-02 ordered=60 received=30, row-3 group-b 2026-10-03 ordered=40 received=40, row-4 group-b 2026-10-04 ordered=70 received=55. Use received_units as the field."},{"title":"Multi-store supplier fulfillment summary","prompt":"Please run both the adjacent row change report and the date-by-category pivot on my supplier fill dataset — 6 rows across three store groups covering the first week of October 2026, with ordered and received unit counts — and use ordered_units as the metric to pivot."}],"resultDescription":"Returns two analytical reports: (1) an adjacent row changes report showing sequential differences in the selected field (ordered_units or received_units) across supplied rows, and (2) a date-by-category pivot table cross-tabulating the selected field values by date and store_group. Both reports are computed locally from the supplied data with no external lookups.","failureModes":["Missing required fields (row_id, store_group, date, ordered_units, received_units) causes validation error","Date strings not matching YYYY-MM-DD pattern are rejected","More than 200 rows submitted exceeds maxItems limit","Invalid field enum value (not ordered_units or received_units) causes rejection","Empty rows array (minItems: 1 not met) returns error","Payment not provided or insufficient USDC causes 402 response"],"whenToPreferThis":"Choose this endpoint when you have tabular supplier fill data (ordered and received units per store group and date) and need both a sequential row-change analysis and a date-by-category pivot in a single low-cost call. Ideal for retail supply chain workflows needing offline, local computation on up to 200 records without external data lookups or live predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T18:52:15.456Z","isFirstParty":false,"canonicalSlug":"supplier-fill-adjacent-row-changes-and-date-by-category-pivot-5e783bcd"}