{"uid":"cap_GqzhenCE0d43CH9FVD08c","slug":"service-request-handling-adjacent-row-changes-secondary-measure-1fe09069","name":"Service Request Handling — Adjacent Row Changes + Secondary-Measure Weighted Mean","description":"Service request handling — Adjacent row changes + Secondary-measure weighted mean: Adjacent row changes + Secondary-measure weighted mean for supplied service request handling records (request_count, resolution_minutes). 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-05-159?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","team_group","date","request_count","resolution_minutes"],"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_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"resolution_minutes":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","team_group":"group-a","request_count":10,"resolution_minutes":1},{"date":"2026-10-02","row_id":"row-2","team_group":"group-b","request_count":20,"resolution_minutes":2},{"date":"2026-10-03","row_id":"row-3","team_group":"group-a","request_count":15,"resolution_minutes":3},{"date":"2026-10-04","row_id":"row-4","team_group":"group-b","request_count":30,"resolution_minutes":4}],"maxItems":200,"minItems":1},"field":{"enum":["request_count","resolution_minutes"],"type":"string","default":"request_count"}}},"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_A7ccofAeD3YELiblGfKhw","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 changes and secondary-measure weighted mean for service request handling records (request_count, resolution_minutes) across up to 200 rows.","exampleAgentPrompt":"Can you analyze my service request data and give me both the adjacent row changes and the secondary-measure weighted mean for request_count? I have rows like: 2026-10-01 group-a 10 requests 1 min resolution, 2026-10-02 group-b 20 requests 2 min, 2026-10-03 group-a 15 requests 3 min.","exampleUseCases":[{"title":"Daily ticket volume delta tracking","prompt":"I have 30 days of helpdesk data with request counts and resolution times by team — can you compute the day-over-day changes in request_count and give me the weighted mean of resolution_minutes weighted by request volume?"},{"title":"Support team performance comparison","prompt":"Run an adjacent row change analysis plus a weighted mean report on my service desk records for teams alpha and beta — field should be request_count, I'll supply about 60 rows of date, team_group, request_count, and resolution_minutes."},{"title":"Operations review for resolution efficiency","prompt":"I need two analytics reports on my service request handling data: how resolution_minutes changed between consecutive rows, and the weighted average resolution time using request_count as the weight — can you run that on my 150-row dataset?"}],"resultDescription":"Returns two analytical reports for the supplied service request handling rows: (1) adjacent row changes showing the difference in the selected metric between consecutive rows, and (2) a secondary-measure weighted mean where one metric (e.g. resolution_minutes) is averaged weighted by the other (e.g. request_count). Results are derived entirely from the supplied data with no external lookups.","failureModes":["Input exceeds 200 rows — request will be rejected or truncated","Missing required fields (row_id, date, team_group, request_count, resolution_minutes) cause validation errors","Invalid date format (must be YYYY-MM-DD) results in parsing failure","Null or missing numeric values may cause weighted mean to return NaN or partial results","Invalid field enum value (not 'request_count' or 'resolution_minutes') causes parameter rejection"],"whenToPreferThis":"Choose this endpoint when you have tabular service request handling data (with request_count and resolution_minutes fields) and need both row-over-row delta analysis and a weighted mean computed locally without any external data enrichment, prediction, or live lookup. Ideal for batch analytical reporting on helpdesk or operations datasets up to 200 rows at low cost ($0.01 USDC for both reports).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T18:37:44.461Z","isFirstParty":false,"canonicalSlug":"service-request-handling-adjacent-row-changes-secondary-measure-1fe09069"}