{"uid":"cap_VmE9LGNXOFyLtLl5yuH7F","slug":"service-request-handling-numeric-row-ordering-adjacent-row-changes-c034e6b6","name":"Service Request Handling — Numeric Row Ordering + Adjacent Row Changes","description":"Service request handling — Numeric row ordering + Adjacent row changes: Numeric row ordering + Adjacent row changes 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-05-116?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_r_7n9s0X-keLkb5J7q30x","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":"Ranks service request handling rows by a chosen metric and computes adjacent-row changes, delivering two analytical reports for up to 200 records of request_count or resolution_minutes data.","exampleAgentPrompt":"Can you rank these service request records by request_count and show me the changes between consecutive rows? I have 4 rows for group-a and group-b from October 2026 with request counts and resolution minutes — give me both the ordering report and the adjacent row differences.","exampleUseCases":[{"title":"Daily ticket volume ranking for support teams","prompt":"I have daily service request data for two support teams over the past week — can you sort all the rows by request_count from highest to lowest and also show me how each row's count changed compared to the one before it?"},{"title":"Resolution time trend analysis across team groups","prompt":"Take my 30 rows of helpdesk data with team groups, dates, and resolution_minutes, rank them numerically by resolution_minutes, and give me the adjacent row changes so I can see where resolution time jumped or dropped."},{"title":"Identifying biggest day-over-day swings in request volume","prompt":"I've got about 100 service request records across multiple team groups — can you order them by request_count and compute the difference between each consecutive row so I can spot the biggest spikes?"}],"resultDescription":"Two analytical reports: (1) all input rows sorted numerically by the selected field (request_count or resolution_minutes) in ranked order, and (2) a row-by-row adjacent change report showing the difference between each consecutive row's value for the chosen metric. No external data or predictions are included — results are derived purely from the supplied rows.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required fields (row_id, date, team_group, request_count, resolution_minutes) cause validation errors","Invalid date format (non-YYYY-MM-DD) triggers schema rejection","Null values in the selected metric field may produce gaps in ordering or change calculations","Invalid field enum value (anything other than 'request_count' or 'resolution_minutes') causes rejection"],"whenToPreferThis":"Choose this endpoint when you have tabular service request handling data (up to 200 rows) and need both a ranked ordering by a numeric metric and a sequential difference report between adjacent rows — all from your own supplied data without any live lookup or external enrichment. Ideal for support operations teams doing lightweight in-place analytics on request volume or resolution time without setting up a full data pipeline.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T12:46:37.079Z","isFirstParty":false,"canonicalSlug":"service-request-handling-numeric-row-ordering-adjacent-row-changes-c034e6b6"}