{"uid":"cap_59YT9x2QCAy7P1ieOoD88","slug":"travel-administration-exact-row-deduplication-daily-sum-series-105cabc7","name":"Travel Administration — Exact Row Deduplication + Daily Sum Series","description":"Travel administration — Exact row deduplication + Daily sum series: Exact row deduplication + Daily sum 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-14-044?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_6d_gGfwsFa5nChH6mJONC","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":"Deduplicates exact rows and computes daily sum time series for travel administration records (trip_count or recorded_cost) across up to 200 rows.","exampleAgentPrompt":"I have up to 200 rows of travel administration records with trip counts and recorded costs — can you deduplicate the exact rows and also give me a daily sum series for trip_count across all the entries I supply?","exampleUseCases":[{"title":"Clean duplicate travel expense entries","prompt":"I've got a batch of travel records from multiple teams with date, trip_count, and recorded_cost columns — some rows are exact duplicates. Can you run deduplication on them and give me the clean unique set alongside a daily sum of trip_count?"},{"title":"Daily cost rollup for finance reporting","prompt":"Here are our travel administration records for the past quarter. Please deduplicate any exact duplicate rows and then compute a daily sum series for recorded_cost so I can see total spend per day."},{"title":"Team travel data audit","prompt":"I need to audit our team travel data — I have up to 200 rows with row_id, team_group, date, trip_count, and recorded_cost fields. Run exact row deduplication and generate a daily sum series for trip_count so I can spot anomalies."}],"resultDescription":"Returns two reports: (1) an exact row deduplication report identifying and removing fully duplicate records from the supplied travel administration data, and (2) a daily sum time series aggregating the selected field (trip_count or recorded_cost) by date across all input rows.","failureModes":["Input exceeds 200 rows — request rejected","Missing required fields (row_id, date, trip_count, recorded_cost) — validation error","Invalid date format (not YYYY-MM-DD) — schema validation failure","Numeric values outside allowed range (±1,000,000,000,000) — rejected","Empty rows array — minItems constraint violation"],"whenToPreferThis":"Choose this endpoint when you need both exact row deduplication and a daily sum time series in a single call for travel administration data with trip_count and recorded_cost fields, without requiring any live data lookup, prediction, or external integration. Ideal for batch data cleaning and aggregation jobs on datasets of up to 200 rows at low cost ($0.01 USDC for both reports).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T18:51:10.346Z","isFirstParty":false,"canonicalSlug":"travel-administration-exact-row-deduplication-daily-sum-series-105cabc7"}