{"uid":"cap_9qnLvom1Hyii8x708wVpC","slug":"travel-administration-grouped-numeric-summary-adjacent-row-changes-7a2114f1","name":"Travel Administration — Grouped Numeric Summary + Adjacent Row Changes","description":"Travel administration — Grouped numeric summary + Adjacent row changes: Grouped numeric summary + Adjacent row changes 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-14-091?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"}}},"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_Tk6KT9mIQG6Bs9MHgvwnr","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":"Runs two local analytical reports on travel administration records: a grouped numeric summary (aggregated by team_group) and an adjacent row change analysis for trip_count or recorded_cost.","exampleAgentPrompt":"Can you run a grouped numeric summary and adjacent row change report on my travel admin data? I have trip_count and recorded_cost by team_group across dates — here are up to 200 rows, and I want the analysis focused on trip_count.","exampleUseCases":[{"title":"Team travel cost aggregation","prompt":"I have our quarterly travel records with recorded_cost and trip_count broken down by team group and date — can you group them by team and give me a numeric summary, plus show how costs changed between consecutive rows? Focus on recorded_cost."},{"title":"Operations trip count delta report","prompt":"Here are 150 rows of travel admin records for our ops department — each row has a date, team_group, trip_count, and recorded_cost. Run the grouped summary and the adjacent row changes analysis on trip_count so I can see which teams are driving volume and how it's shifting day to day."},{"title":"Finance audit of travel data","prompt":"I need two reports on these travel administration entries: first, group the recorded_cost by team_group and summarize it numerically; second, show me the change in recorded_cost between each adjacent row. There are about 80 records total."}],"resultDescription":"Returns two reports: (1) a grouped numeric summary aggregating the selected field (trip_count or recorded_cost) by team_group, including statistics like totals or means per group; and (2) an adjacent row changes report showing the delta of the selected field between consecutive rows in the supplied dataset. Both reports operate entirely on the supplied data with no external lookups.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Missing required fields (row_id, team_group, date, trip_count, recorded_cost) cause validation errors","Invalid date format (not YYYY-MM-DD) causes schema rejection","Null values in both numeric fields may produce incomplete summaries","Incorrect field enum value (not 'trip_count' or 'recorded_cost') causes error"],"whenToPreferThis":"Choose this endpoint when you have tabular travel administration records (up to 200 rows) and need both a group-level numeric summary and a row-to-row change analysis in a single low-cost call. It is ideal for offline/batch analytics on already-collected data where no live data enrichment, prediction, or external lookup is needed. At $0.01 USDC for two reports, it is cost-effective for routine operational reporting on team travel metrics.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-28T06:48:21.040Z","isFirstParty":false,"canonicalSlug":"travel-administration-grouped-numeric-summary-adjacent-row-changes-7a2114f1"}