{"uid":"cap_vbs1LhVxw6TTgZyzC_CQ6","slug":"travel-administration-numeric-distribution-date-by-category-pivot-2b711af7","name":"Travel Administration — Numeric Distribution + Date by Category Pivot","description":"Travel administration — Numeric distribution + Date by category pivot: Numeric distribution + Date by category pivot 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-14-083?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_xSpUA6pm0d8qdCl_Lslzu","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":"Generates two local analytical reports — a numeric distribution and a date-by-category pivot — for supplied travel administration records (trip_count or recorded_cost).","exampleAgentPrompt":"Can you run a numeric distribution and date-by-category pivot on my travel records? I have up to 50 rows with trip_count and recorded_cost per team group and date — analyze the trip_count field.","exampleUseCases":[{"title":"Corporate travel cost distribution analysis","prompt":"I have 120 rows of corporate travel records with team group, date, and recorded_cost — can you run a numeric distribution and a date-by-category pivot on the recorded_cost field to see how costs are spread across teams and dates?"},{"title":"Fleet trip count pivot by team","prompt":"I need to understand how trip counts are distributed and pivot them by team group and date across my 80 travel administration records — please analyze the trip_count field and give me both reports."},{"title":"Monthly travel operations review","prompt":"Can you analyze these 200 travel administration rows for our monthly ops review? Run a numeric distribution and a date-by-category pivot on trip_count, grouped by team group and date."}],"resultDescription":"Two local analytical reports generated from the supplied data: (1) a numeric distribution report showing statistical spread of the selected numeric field (trip_count or recorded_cost), and (2) a date-by-category pivot breaking down the selected field values by team_group and date. No external data sources or predictions are used — results are derived entirely from the provided rows.","failureModes":["Fewer than 1 row supplied — minimum row count violation","More than 200 rows supplied — exceeds maximum row limit","Missing required fields (row_id, team_group, date, trip_count, recorded_cost) in any row","Date field not matching pattern YYYY-MM-DD","Numeric values outside allowed range (-1e12 to 1e12)","Invalid field enum value (must be 'trip_count' or 'recorded_cost')","Payment failure — insufficient USDC balance for $0.01 call"],"whenToPreferThis":"Choose this endpoint when you have up to 200 travel administration records and need both a numeric distribution and a date-by-category pivot in a single low-cost call ($0.01 USDC). It is ideal for offline, local analytical reporting on trip_count or recorded_cost without requiring live data lookup, prediction, or external integrations. Prefer it over general-purpose analytics services when you need two bundled reports on travel-domain data efficiently.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-30T19:10:28.742Z","isFirstParty":false,"canonicalSlug":"travel-administration-numeric-distribution-date-by-category-pivot-2b711af7"}