{"uid":"cap_RI1RitIEtbYX9roXc747V","slug":"procurement-cycles-duplicate-key-report-date-by-category-pivot-0468cbf2","name":"Procurement Cycles Duplicate Key Report + Date by Category Pivot","description":"Procurement cycles — Duplicate key report + Date by category pivot: Duplicate key report + Date by category pivot for supplied procurement cycles records (request_days, approval_days). 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-operations-06-068?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","team_group","date","request_days","approval_days"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"team_group":{"type":"string","default":"","maxLength":80},"request_days":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"approval_days":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","team_group":"group-a","request_days":10,"approval_days":1},{"date":"2026-10-02","row_id":"row-2","team_group":"group-b","request_days":20,"approval_days":2},{"date":"2026-10-03","row_id":"row-3","team_group":"group-a","request_days":15,"approval_days":3},{"date":"2026-10-04","row_id":"row-4","team_group":"group-b","request_days":30,"approval_days":4}],"maxItems":200,"minItems":1},"field":{"enum":["request_days","approval_days"],"type":"string","default":"request_days"}}},"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_ksb1sWso3Krc4vanUcOQY","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 user-supplied procurement cycle records to produce a duplicate key report and a date-by-category pivot table for request_days or approval_days fields.","exampleAgentPrompt":"I have 150 procurement cycle records with row IDs, team groups, dates, and request_days values — can you run a duplicate key report and a date-by-category pivot on the request_days field for me?","exampleUseCases":[{"title":"Audit procurement records for duplicates","prompt":"I've got a batch of procurement cycle entries from our ERP export — can you check them for duplicate row IDs and also give me a pivot of request_days broken down by date and team group? Here are up to 200 rows with row_id, team_group, date, request_days, and approval_days."},{"title":"Category pivot on approval turnaround times","prompt":"Can you pivot our procurement approval_days data by date and category so I can see how approval durations vary across team groups over time? I'll supply the records — each has a row_id, team_group, date, and approval_days."},{"title":"Pre-submission data quality check","prompt":"Before I submit this procurement dataset to finance, can you run a duplicate key check and a date-by-category pivot on the request_days field so I can catch any duplicates and see the summary by team group and date? I have about 80 rows ready."}],"resultDescription":"Returns two independent analytical reports: (1) a duplicate key report identifying rows with repeated row_id values within the supplied dataset, and (2) a date-by-category pivot table aggregating the selected metric (request_days or approval_days) across dates and team_group categories. Both reports are computed locally from the submitted data without any external lookups.","failureModes":["Exceeding 200-row limit causes rejection — trim input to at most 200 rows","Missing required fields (row_id, team_group, date, request_days, approval_days) cause validation errors","Invalid date format (not YYYY-MM-DD) triggers pattern validation failure","Null values in the selected metric field may produce incomplete pivot cells","Empty rows array returns an error — at least 1 row required","Values outside numeric bounds cause schema rejection"],"whenToPreferThis":"Choose this endpoint when you have procurement cycle tabular data (up to 200 rows) and need both a duplicate key audit and a date-by-category pivot in a single low-cost call. It is ideal for pre-submission data quality checks, operations reporting, or ad hoc procurement analytics without requiring a BI tool or database connection. Prefer it over general-purpose analytics endpoints when your data is specifically structured around procurement cycles with request_days and approval_days metrics.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:33:00.923Z","isFirstParty":false,"canonicalSlug":"procurement-cycles-duplicate-key-report-date-by-category-pivot-0468cbf2"}