{"uid":"cap__4VZ6tt2nAu4MwZDUFuWc","slug":"service-request-handling-numeric-row-ordering-trailing-mean-series-9aa2ac98","name":"Service Request Handling — Numeric Row Ordering + Trailing Mean Series","description":"Service request handling — Numeric row ordering + Trailing mean series: Numeric row ordering + Trailing mean series 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-05-115?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"},"window":{"type":"integer","default":2,"maximum":200,"minimum":2}}},"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_6JNJZx7-Tbj_CK51Ypsxt","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 numeric row ordering and trailing mean series for service request handling records (request_count or resolution_minutes) over up to 200 rows.","exampleAgentPrompt":"Take my service request data for the last week — rows with row_id, team_group, date, request_count, and resolution_minutes — and give me two reports: one that ranks the rows numerically by request_count and another that shows a trailing mean series for request_count using a window of 3.","exampleUseCases":[{"title":"Helpdesk team performance ranking","prompt":"I have 50 daily service request records across our support teams with request counts and resolution times — can you rank the rows by request_count and also compute a 5-day trailing mean of request_count so I can see which teams are trending up or down?"},{"title":"Resolution time smoothing for ops review","prompt":"Here are our last month's service request logs with resolution_minutes per day — please order the rows numerically and calculate a trailing mean series for resolution_minutes using a window of 7 so I can present a smoothed trend at our ops review."},{"title":"Identifying request volume spikes by group","prompt":"I've got service request records for two team groups over the past quarter — compute numeric row ordering and a trailing mean for request_count with a window of 4 so I can spot which group had the sharpest volume spikes."}],"resultDescription":"Returns two analytical reports for the supplied service request records: (1) numeric row ordering — rows ranked by the specified metric — and (2) a trailing mean series — rolling averages over the specified window size for the chosen field (request_count or resolution_minutes). Both reports are derived entirely from the supplied data with no external lookups.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Invalid date format (not YYYY-MM-DD) causes validation error","Window size larger than number of rows results in insufficient data for trailing mean","Missing required fields (row_id, date, request_count, resolution_minutes) cause schema validation failure","Null values in the selected metric field may produce incomplete or NaN results in the series"],"whenToPreferThis":"Choose this endpoint when you need two simultaneous analytical outputs — numeric row ordering and trailing mean series — from your own service request records without any external data enrichment, predictions, or professional assessment. It is purpose-built for helpdesk and operations datasets with request_count and resolution_minutes fields, supports up to 200 rows per call, and costs only $0.01 USDC for both reports together.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T12:30:53.607Z","isFirstParty":false,"canonicalSlug":"service-request-handling-numeric-row-ordering-trailing-mean-series-9aa2ac98"}