{"uid":"cap_fzr0rBcSzSzYUMQez7TJg","slug":"travel-administration-string-normalisation-equal-width-histogram-d2df35db","name":"Travel Administration String Normalisation + Equal-Width Histogram","description":"Travel administration — String normalisation + Equal-width histogram: String normalisation + Equal-width histogram 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-14-031?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"bins":{"type":"integer","default":5,"maximum":30,"minimum":1},"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_KLHTELE8NCAFuTvXPHK2c","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 string normalisation and equal-width histogram analysis on up to 200 travel administration records (trip_count or recorded_cost), returning two local analytical reports.","exampleAgentPrompt":"Run string normalisation and an equal-width histogram with 10 bins on my travel administration records for the trip_count field — I have about 50 rows with row IDs, team groups like 'Sales' and 'Ops', dates, trip counts, and recorded costs.","exampleUseCases":[{"title":"Trip count distribution for travel audit","prompt":"I have 120 travel admin records with trip counts and costs by team group — can you run an equal-width histogram with 8 bins on the trip_count field and also normalise the string fields so I can see the frequency distribution cleanly?"},{"title":"Recorded cost bucketing for budget review","prompt":"Take these 80 travel records with recorded_cost values ranging across multiple teams and dates, and give me a 5-bin equal-width histogram plus string normalisation on the recorded_cost field — I need both reports for our quarterly budget review."},{"title":"Team group string cleanup with histogram","prompt":"Our travel data has inconsistent team_group strings and we need to normalise them, plus get a histogram of trip_count using 15 bins. Here are the 200 rows — row IDs, dates, team groups, trip counts, and recorded costs all included."}],"resultDescription":"Two analytical reports: (1) a string normalisation report that cleans and standardises string fields in the travel administration data, and (2) an equal-width histogram report that buckets the selected numeric field (trip_count or recorded_cost) into the specified number of equal-width bins with frequency counts. Both reports are computed locally on the supplied rows (up to 200).","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Missing required fields (row_id, team_group, date, trip_count, recorded_cost) cause validation errors","Invalid date format (must be YYYY-MM-DD) causes schema rejection","bins value outside 1–30 range returns validation error","All numeric values null for the selected field — histogram may be empty or error","Payment failure via x402 protocol returns 402 status"],"whenToPreferThis":"Choose this endpoint when you need both string normalisation and equal-width histogram analysis on travel administration records (trip_count or recorded_cost) in a single low-cost call. Ideal for small-to-medium datasets (up to 200 rows) where no live data lookup, external enrichment, or predictive modelling is needed — just local statistical and string processing on supplied data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T18:39:09.644Z","isFirstParty":false,"canonicalSlug":"travel-administration-string-normalisation-equal-width-histogram-d2df35db"}