{"uid":"cap_L5Uy0XUKu99HDmAekB5yb","slug":"travel-administration-category-frequencies-date-by-category-pivot-4f4defb0","name":"Travel Administration — Category Frequencies + Date by Category Pivot","description":"Travel administration — Category frequencies + Date by category pivot: Category frequencies + 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-14-110?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_qPJMiBU9c9AdWoUJAR6IM","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: category frequency distribution and a date-by-category pivot, across up to 200 rows for trip_count or recorded_cost.","exampleAgentPrompt":"I have up to 200 rows of travel administration records with fields like row_id, team_group, date, trip_count, and recorded_cost — can you run the category frequency and date-by-category pivot reports on them, analyzing the recorded_cost field?","exampleUseCases":[{"title":"Team travel cost breakdown by date","prompt":"Here are 150 rows of our corporate travel records with team groups, dates, and recorded costs — can you pivot the recorded_cost by date and team group, and also show me the frequency of each team group in the data?"},{"title":"Trip count frequency analysis across groups","prompt":"I've got a dataset of 80 travel administration records for our field teams. Run the category frequencies and date pivot reports on the trip_count field so I can see which groups are traveling most and when."},{"title":"Monthly travel pattern summary for finance","prompt":"Can you analyze these 200 travel admin records — row IDs, team groups, dates, and recorded costs — and give me both the category frequency distribution and a date-by-category pivot on recorded_cost so I can prepare a finance summary?"}],"resultDescription":"Returns two analytical reports: (1) a category frequency table showing how often each team_group value appears in the dataset, and (2) a date-by-category pivot table cross-tabulating dates against team groups for the selected metric (trip_count or recorded_cost), all computed locally without external lookups.","failureModes":["Input array is empty or exceeds 200 rows — request rejected","Invalid date format (not YYYY-MM-DD) causes row validation failure","Missing required fields (row_id, team_group, date, trip_count, recorded_cost) causes schema rejection","Invalid field selector (not 'trip_count' or 'recorded_cost') causes enum validation error","Numeric values outside the allowed range trigger validation errors"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of travel administration records and need fast, local category frequency and date-pivot analytics on trip_count or recorded_cost without requiring live lookups, external data enrichment, or predictive modeling. Ideal for lightweight, repeatable batch analysis of structured travel data where cost efficiency ($0.01 for 2 reports) matters.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-28T06:48:27.247Z","isFirstParty":false,"canonicalSlug":"travel-administration-category-frequencies-date-by-category-pivot-4f4defb0"}