{"uid":"cap_pC5x6c8jDZH8yEXnxjQUf","slug":"travel-administration-daily-sum-series-and-date-by-category-pivot-7cb4328b","name":"Travel Administration Daily Sum Series and Date-by-Category Pivot","description":"Travel administration — Daily sum series + Date by category pivot: Daily sum series + 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-14-143?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_aVgLVbGpqmDwBLy8nuD3u","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 a daily sum time series and a date-by-category pivot table for travel administration records (trip_count or recorded_cost) from up to 200 supplied rows.","exampleAgentPrompt":"I have a set of travel administration records for multiple team groups — can you compute the daily sum series and a date-by-category pivot for trip_count across up to 200 rows? The rows have fields: row_id, team_group, date (YYYY-MM-DD), trip_count, and recorded_cost.","exampleUseCases":[{"title":"Monthly team travel cost summary","prompt":"I've got 150 rows of corporate travel records with dates, team groups, and recorded costs — can you give me a daily sum series and a pivot table of recorded_cost broken down by team group and date so I can see which teams are spending the most each day?"},{"title":"Trip volume trend by department","prompt":"Here are our travel administration records for Q3 — about 180 rows with trip_count and team_group by date. Can you generate the daily sum series and a date-by-category pivot for trip_count so I can spot which departments are traveling most on which days?"},{"title":"Finance audit of daily travel spend","prompt":"I need to audit our travel spend — I have 200 rows of records with date, team_group, and recorded_cost. Please run a daily sum series and a date-by-category pivot on recorded_cost so I can verify the totals day by day per team."}],"resultDescription":"Two analytical reports: (1) a daily sum time series showing the total of the selected field (trip_count or recorded_cost) aggregated by date across all rows, and (2) a date-by-category pivot table showing the selected field's totals broken down by date and team_group. Both reports are computed locally from the supplied data with no external lookups.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required fields (row_id, team_group, date, trip_count, recorded_cost) on any row — validation error","Date values not matching YYYY-MM-DD pattern — schema validation failure","Invalid field selector (not 'trip_count' or 'recorded_cost') — enum validation error","Empty rows array — minimum items constraint violation"],"whenToPreferThis":"Choose this endpoint when you need both a daily aggregated time series AND a date-by-category pivot in a single API call for travel administration data (trip_count or recorded_cost), with up to 200 rows of supplied data, at a low flat cost of $0.01 USDC for both reports combined. Ideal for offline or batch analytical scenarios where data is already collected and no live lookups, predictions, or external enrichment are needed.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T18:51:46.612Z","isFirstParty":false,"canonicalSlug":"travel-administration-daily-sum-series-and-date-by-category-pivot-7cb4328b"}