{"uid":"cap_LCQGW_LBMLSiE8CA_niJK","slug":"travel-administration-duplicate-key-report-trailing-mean-series-a031b792","name":"Travel Administration Duplicate Key Report + Trailing Mean Series","description":"Travel administration — Duplicate key report + Trailing mean series: Duplicate key report + 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-14-061?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_cgrtpGv4aP5HrouZnTdI0","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":"Analyzes up to 200 travel administration records to produce a duplicate key report and a trailing mean series for trip_count or recorded_cost.","exampleAgentPrompt":"Check my travel administration records for duplicate row IDs and also compute a 3-period trailing mean on the trip_count field — here are up to 200 rows with row_id, team_group, date, trip_count, and recorded_cost.","exampleUseCases":[{"title":"Duplicate detection in travel expense records","prompt":"I have 150 travel expense records with row IDs, team groups, dates, trip counts, and recorded costs — can you run a duplicate key check on them and flag any repeated row IDs?"},{"title":"Rolling average of trip counts over time","prompt":"Take these 80 travel administration rows and compute a trailing mean series with a window of 5 for the trip_count field so I can see the smoothed trend over time."},{"title":"Combined data quality and trend audit","prompt":"Here are 200 travel records from our fleet — run both a duplicate key report and a 4-period trailing mean on recorded_cost so I can spot data entry errors and cost trends at the same time."}],"resultDescription":"Returns two independent analytical reports: (1) a duplicate key report identifying any repeated row_id values across the submitted travel records, and (2) a trailing mean series for the specified numeric field (trip_count or recorded_cost) computed with the given window size — all derived purely from the supplied data with no external lookups.","failureModes":["Fewer than 1 row submitted — minimum row count not met","More than 200 rows submitted — exceeds maximum row limit","Invalid date format (must be YYYY-MM-DD)","Missing required fields (row_id, team_group, date, trip_count, recorded_cost)","Window size less than 2 or greater than 200","Invalid field enum value — must be trip_count or recorded_cost","Payment not provided or insufficient — x402 payment required"],"whenToPreferThis":"Choose this endpoint when you need both a duplicate key audit and a rolling/trailing mean time series computed on travel administration data (trip_count or recorded_cost) in a single API call for up to 200 rows, without requiring any external data sources, live lookups, or predictions. It is ideal for lightweight, local analytical processing of structured travel records at minimal cost ($0.01 USDC for both reports).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T12:49:43.105Z","isFirstParty":false,"canonicalSlug":"travel-administration-duplicate-key-report-trailing-mean-series-a031b792"}