{"uid":"cap_-7OSL-Qz6TJ5wskys61YX","slug":"travel-administration-exact-row-deduplication-base-100-series-0b79d71b","name":"Travel Administration — Exact Row Deduplication + Base-100 Series","description":"Travel administration — Exact row deduplication + Base-100 series: Exact row deduplication + Base-100 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-14-047?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"},"base_index":{"type":"integer","default":0,"maximum":199,"minimum":0}}},"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_5qm6tRKhhJ3FyTD2Cr4N7","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 travel administration records and computes a Base-100 indexed series for trip_count or recorded_cost across up to 200 rows, producing two analytical reports.","exampleAgentPrompt":"Can you deduplicate our travel records and produce a Base-100 series for trip_count starting at row index 0? Here's the data: team Alpha on 2026-10-01 had 10 trips costing $1, team Beta on 2026-10-02 had 20 trips costing $2.","exampleUseCases":[{"title":"Corporate travel cost indexing","prompt":"I have travel expense records for our Q4 trips across two teams. Can you deduplicate them and build a Base-100 index series for recorded_cost starting from the first row? Teams are group-a and group-b with dates from October 1–4, 2026."},{"title":"Trip count trend normalization","prompt":"Take these 50 travel records for our operations team and remove any exact duplicates, then give me a Base-100 indexed series for trip_count with the base set at row index 0 so I can compare trends."},{"title":"Multi-team travel data deduplication","prompt":"We've got travel admin data for three team groups with up to 150 rows — can you run exact deduplication on the rows and also produce a Base-100 series for both trip_count and recorded_cost so we get two reports back?"}],"resultDescription":"Returns two analytical reports: (1) exact row deduplication results identifying and removing duplicate travel records, and (2) a Base-100 indexed series for the selected field (trip_count or recorded_cost), normalized relative to the specified base index row. All computation is performed locally on the supplied data with no external lookups.","failureModes":["More than 200 rows submitted — request rejected due to maxItems constraint","Invalid date format not matching YYYY-MM-DD pattern — validation error","Missing required fields (row_id, team_group, date, trip_count, recorded_cost) — schema validation failure","base_index out of range (>199 or <0) — parameter error","Empty rows array — minItems violation","Numeric values outside allowed range (-1e12 to 1e12) — validation error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 travel administration records that need exact duplicate removal combined with Base-100 series indexing for trip_count or recorded_cost — all in a single low-cost call. Ideal for corporate travel data cleaning and trend normalization without needing external data lookups, predictions, or live data sources.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-27T13:06:45.079Z","isFirstParty":false,"canonicalSlug":"travel-administration-exact-row-deduplication-base-100-series-0b79d71b"}