{"uid":"cap_9BVDuS6PBBkH6yFGCSnxK","slug":"supplier-delivery-evidence-string-normalisation-date-by-category-pivot-5021db29","name":"Supplier Delivery Evidence — String Normalisation + Date by Category Pivot","description":"Supplier delivery evidence — String normalisation + Date by category pivot: String normalisation + Date by category pivot for supplied supplier delivery evidence records (deliveries, on_time_deliveries). 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-company-15-035?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","company_group","date","deliveries","on_time_deliveries"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"deliveries":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"company_group":{"type":"string","default":"","maxLength":80},"on_time_deliveries":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","deliveries":10,"company_group":"group-a","on_time_deliveries":1},{"date":"2026-10-02","row_id":"row-2","deliveries":20,"company_group":"group-b","on_time_deliveries":2},{"date":"2026-10-03","row_id":"row-3","deliveries":15,"company_group":"group-a","on_time_deliveries":3},{"date":"2026-10-04","row_id":"row-4","deliveries":30,"company_group":"group-b","on_time_deliveries":4}],"maxItems":200,"minItems":1},"field":{"enum":["deliveries","on_time_deliveries"],"type":"string","default":"deliveries"}}},"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_65Y57StU-NUgA-6HED33w","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 string fields and produces a date-by-category pivot report for up to 200 rows of supplier delivery evidence data (deliveries and on-time deliveries).","exampleAgentPrompt":"Can you normalise the string fields and produce a date-by-category pivot for these supplier delivery records — I have 4 rows covering groups 'group-a' and 'group-b' from 2026-10-01 to 2026-10-04, with deliveries and on_time_deliveries counts, and I want the pivot on the 'deliveries' field?","exampleUseCases":[{"title":"Supplier on-time rate pivot by group","prompt":"I have 150 rows of supplier delivery evidence with dates, company groups, and on_time_deliveries counts — can you pivot those by date and category so I can see which groups are performing best over time? Use the on_time_deliveries field for the pivot."},{"title":"Cleaning messy delivery string data","prompt":"Our supplier delivery export has inconsistent string formatting in the company_group and row_id columns across about 80 rows — can you run string normalisation on these records and also give me a date-by-category pivot on the deliveries field?"},{"title":"Weekly delivery evidence summary report","prompt":"I've pulled this week's delivery logs for two supplier groups — about 40 rows with dates, deliveries, and on_time_deliveries — please normalise the strings and produce a pivot by date and company group so I can drop it into our weekly performance report."}],"resultDescription":"Returns two analytical reports derived from the supplied rows: (1) a string normalisation report cleaning company_group and related text fields, and (2) a date-by-category pivot table aggregating the selected numeric field (deliveries or on_time_deliveries) by date and company_group. No external data is fetched; all analysis is performed locally on the supplied rows (up to 200).","failureModes":["Fewer than 1 row supplied — validation error","More than 200 rows supplied — request rejected","Missing required fields (row_id, company_group, date, deliveries, on_time_deliveries) — schema validation failure","Invalid date format (not YYYY-MM-DD) — pattern validation error","Numeric values outside allowed range — validation failure","Invalid field enum value (must be 'deliveries' or 'on_time_deliveries') — enum validation error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of supplier delivery evidence and need both string normalisation and a date-by-category pivot in a single low-cost call ($0.01 USDC). It is ideal for lightweight, local analytical processing without needing external lookups, predictions, or live data — especially when your data already contains deliveries and on_time_deliveries numeric fields with a company_group category and a date dimension.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T06:58:38.727Z","isFirstParty":false,"canonicalSlug":"supplier-delivery-evidence-string-normalisation-date-by-category-pivot-5021db29"}