{"uid":"cap_oxpgZNlbRbLVl3NpI4dIu","slug":"travel-administration-string-normalisation-category-frequencies-98f010f6","name":"Travel Administration — String Normalisation + Category Frequencies","description":"Travel administration — String normalisation + Category frequencies: String normalisation + Category frequencies 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-14-024?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}}},"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_y38gnB1H38mLRm7LB74YV","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: string normalisation and category frequency counts for up to 200 rows of trip_count and recorded_cost data.","exampleAgentPrompt":"Can you run string normalisation and category frequency analysis on my travel admin records? I have rows with team groups like 'group-a' and 'group-b', dates in YYYY-MM-DD format, trip counts, and recorded costs — up to 50 rows.","exampleUseCases":[{"title":"Corporate travel team frequency audit","prompt":"I have about 80 rows of travel administration records with team group names, dates, trip counts, and recorded costs. Can you normalise the team group strings and tell me how frequently each category appears across the dataset?"},{"title":"Trip count distribution by group","prompt":"Can you analyse my travel admin data — I've got 120 rows with row IDs, team groups, dates, trip counts, and recorded costs — and give me both the normalised string output and the category frequency breakdown for the team groups?"},{"title":"Monthly travel cost category summary","prompt":"Please run a string normalisation and category frequency report on these 45 travel administration records I have, with fields for team_group, date, trip_count, and recorded_cost — I want to see how the categories are distributed."}],"resultDescription":"Two analytical reports: (1) normalised versions of string fields (e.g. team_group) across the submitted rows, and (2) frequency counts of each distinct category value found in the dataset — all computed locally without any external lookups or predictions, covering up to 200 input rows.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, team_group, date, trip_count, recorded_cost) causes schema rejection","Malformed date strings not matching YYYY-MM-DD pattern are rejected","Numeric values outside ±1,000,000,000,000 are rejected","Payment failure results in 402 response with no data returned"],"whenToPreferThis":"Choose this endpoint when you need lightweight, offline string normalisation and categorical frequency analysis on small-to-medium travel administration datasets (up to 200 rows) at very low cost ($0.01 per call). It is ideal when you do not need live data lookups, predictions, or external enrichment — just clean categorical summaries and normalised text fields from your own supplied records.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T18:51:47.753Z","isFirstParty":false,"canonicalSlug":"travel-administration-string-normalisation-category-frequencies-98f010f6"}