{"uid":"cap_AFvGX_nl59Klip2NNT9tD","slug":"travel-administration-string-normalisation-numeric-interval-filter-23e69075","name":"Travel Administration — String Normalisation + Numeric Interval Filter","description":"Travel administration — String normalisation + Numeric interval filter: String normalisation + Numeric interval filter 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-14-026?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"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_Egu0GmiyKzRn_xqbWyZlr","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":"Normalises string fields and filters rows by a numeric interval (min/max) for travel administration records containing trip_count and recorded_cost.","exampleAgentPrompt":"Can you normalise the team_group strings and filter the trip_count field to only keep rows between 5 and 50 for this travel dataset — here are 4 rows: row-1 group-a 2026-10-01 trip_count=10 cost=1, row-2 group-b 2026-10-02 trip_count=20 cost=2, row-3 group-a 2026-10-03 trip_count=15 cost=3, row-4 group-b 2026-10-04 trip_count=30 cost=4?","exampleUseCases":[{"title":"Filter high-cost travel records","prompt":"I have 150 travel admin records with recorded_cost and trip_count — can you normalise the team_group strings and filter to only show me rows where recorded_cost is between 500 and 2000?"},{"title":"Clean team labels for trip reporting","prompt":"My travel dataset has inconsistent team_group names — can you normalise those strings and also filter trip_count between 1 and 100 so I can focus on normal-volume trips? I'll send you up to 200 rows."},{"title":"Validate numeric ranges in expense data","prompt":"Can you run a string normalisation plus numeric interval filter on my travel expense records, keeping only rows where recorded_cost falls between 0 and 999? I have about 80 rows with row_id, team_group, date, trip_count, and recorded_cost."}],"resultDescription":"Two analytical reports for up to 200 supplied rows: one covering normalised string fields (team_group), and one filtering rows where the specified numeric field (trip_count or recorded_cost) falls within the supplied minimum and maximum bounds. Results are derived entirely from the submitted data with no external lookups.","failureModes":["Exceeding 200 rows causes rejection — keep input to maxItems limit","Invalid date format (not YYYY-MM-DD) will fail schema validation","Numeric values outside ±1,000,000,000,000 are rejected","Missing required fields (row_id, team_group, date, trip_count, recorded_cost) cause validation errors","Supplying minimum greater than maximum may return zero filtered rows or an error"],"whenToPreferThis":"Choose this endpoint when you have travel administration tabular data (up to 200 rows) and need both string normalisation of categorical fields and a numeric interval filter on trip_count or recorded_cost in a single low-cost call. It is ideal for lightweight, offline data cleaning and filtering tasks that don't require live lookups, predictions, or external enrichment.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T18:39:53.727Z","isFirstParty":false,"canonicalSlug":"travel-administration-string-normalisation-numeric-interval-filter-23e69075"}