{"uid":"cap_v9y5uUkU_4J251zeiydHM","slug":"travel-administration-numeric-row-ordering-trailing-mean-series-f34dfdd1","name":"Travel Administration — Numeric Row Ordering + Trailing Mean Series","description":"Travel administration — Numeric row ordering + Trailing mean series: Numeric row ordering + Trailing mean series for supplied travel administration records (trip_count, recorded_cost). 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-14-115?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","team_group","date","trip_count","recorded_cost"],"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},"trip_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"recorded_cost":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","team_group":"group-a","trip_count":10,"recorded_cost":1},{"date":"2026-10-02","row_id":"row-2","team_group":"group-b","trip_count":20,"recorded_cost":2},{"date":"2026-10-03","row_id":"row-3","team_group":"group-a","trip_count":15,"recorded_cost":3},{"date":"2026-10-04","row_id":"row-4","team_group":"group-b","trip_count":30,"recorded_cost":4}],"maxItems":200,"minItems":1},"field":{"enum":["trip_count","recorded_cost"],"type":"string","default":"trip_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_Wz-GapongCxFHN3Hxw_9U","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 travel administration records (trip_count or recorded_cost) on up to 200 rows of supplied data.","exampleAgentPrompt":"Can you run numeric row ordering and a trailing mean series on my travel administration data — I have 50 rows with trip_count and recorded_cost fields, and I want the trailing mean computed over a window of 5 for the trip_count field?","exampleUseCases":[{"title":"Monthly travel cost smoothing","prompt":"I have 120 rows of monthly travel records with recorded_cost per team group. Can you compute a trailing mean series with a window of 6 on the recorded_cost field, and also rank all the rows numerically?"},{"title":"Trip count ranking for quarterly review","prompt":"We have 80 travel records with trip_count data across our teams from last quarter. Please generate a numeric row ordering report and a trailing mean series with a window of 3 on trip_count so I can review trends."},{"title":"Team group travel trend analysis","prompt":"Here are 40 rows of travel administration data for two team groups — can you rank them by numeric order and compute a trailing mean over a window of 4 for the trip_count field so I can spot patterns?"}],"resultDescription":"Returns two analytical reports on the supplied travel administration rows: (1) a numeric row ordering report ranking rows by the selected field, and (2) a trailing mean series computed over the specified window size for the chosen field (trip_count or recorded_cost). Both reports are derived entirely from the submitted data with no external lookups.","failureModes":["Fewer than 1 row supplied — validation error","More than 200 rows submitted — rejected with maxItems error","Window size larger than number of rows — may produce empty or partial trailing mean results","Missing required fields (row_id, date, trip_count, recorded_cost) — schema validation failure","Invalid date format (not YYYY-MM-DD) — pattern validation error","Field value outside numeric bounds — validation rejection"],"whenToPreferThis":"Choose this endpoint when you have up to 200 travel administration records and need both a numeric row ordering report and a trailing mean series computed locally on your supplied data, with no need for external data, live lookups, or predictions. It is well-suited for batch analytical preprocessing of trip count or cost data at low cost ($0.01 USDC for both reports together).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T18:37:23.863Z","isFirstParty":false,"canonicalSlug":"travel-administration-numeric-row-ordering-trailing-mean-series-f34dfdd1"}