{"uid":"cap_SXa30fBPxBIq6BBmqIN30","slug":"procurement-cycles-adjacent-row-changes-secondary-measure-weighted-mean-f74b86e5","name":"Procurement Cycles — Adjacent Row Changes + Secondary-Measure Weighted Mean","description":"Procurement cycles — Adjacent row changes + Secondary-measure weighted mean: Adjacent row changes + Secondary-measure weighted mean 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-06-159?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_8s9ZPikB6wvCyLwGjjfUx","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":"Computes adjacent row delta changes and secondary-measure weighted mean statistics for procurement cycle records (request_days, approval_days) supplied by the caller.","exampleAgentPrompt":"Can you run adjacent row changes and a weighted mean analysis on my procurement cycle data — I have rows with request_days and approval_days fields for teams like group-a and group-b across October 2026, and I want to analyze request_days specifically?","exampleUseCases":[{"title":"Procurement approval bottleneck analysis","prompt":"I have 50 rows of procurement records with request_days and approval_days for our sourcing and logistics teams dated through Q3. Can you compute the adjacent row changes for approval_days so I can spot where approval times spiked between consecutive entries?"},{"title":"Weighted mean for request cycle benchmarking","prompt":"Run a secondary-measure weighted mean on our procurement cycle data — about 120 rows covering different team groups and dates — using request_days as the field, so we can benchmark average cycle lengths weighted by the secondary measure."},{"title":"Cross-team procurement timing trend report","prompt":"I want to compare how request_days shift row-by-row across our procurement groups. Take these 80 records tagged by team_group and date and give me the adjacent row changes plus weighted mean for request_days."}],"resultDescription":"Returns two analytical reports: (1) adjacent row changes showing delta values between consecutive rows for the selected field (request_days or approval_days), and (2) a secondary-measure weighted mean computed across the supplied procurement records. Both reports are computed locally on the supplied data with no external lookups.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required fields (row_id, date, request_days, approval_days) — validation error","Invalid date format (not YYYY-MM-DD) — schema validation failure","Null values in the selected field may affect weighted mean computation","field enum value not one of 'request_days' or 'approval_days' — invalid input"],"whenToPreferThis":"Choose this endpoint when you need to analyze procurement cycle timing data with both row-to-row delta tracking and weighted mean summarization in a single low-cost call. Best suited for operations analysts processing up to 200 procurement records who need adjacent difference and weighted average insights without any external data dependencies.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T12:30:46.080Z","isFirstParty":false,"canonicalSlug":"procurement-cycles-adjacent-row-changes-secondary-measure-weighted-mean-f74b86e5"}