{"uid":"cap_D1E4ausrBiM9qbQoV40pr","slug":"travel-administration-data-quality-analytics-suite-644351b6","name":"Travel Administration Data Quality & Analytics Suite","description":"Travel administration — Record quality audit + String normalisation + Numeric distribution: Record quality audit + String normalisation + Numeric distribution for supplied travel administration records (trip_count, recorded_cost). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-operations-14-193?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_CW5sQEfvGIk9AazphH5W_","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 three simultaneous analytical reports — record quality audit, string normalization, and numeric distribution — on up to 200 travel administration rows containing trip count and cost data.","exampleAgentPrompt":"Can you run a record quality audit, string normalization, and numeric distribution on my travel administration data? I have about 50 rows with fields for row_id, team_group, date, trip_count, and recorded_cost — analyze the trip_count field for the distribution report.","exampleUseCases":[{"title":"Monthly travel expense data audit","prompt":"I've got 120 rows of this month's corporate travel records with trip counts and recorded costs per team — can you audit them for quality issues, normalize any inconsistent team group strings, and show me the numeric distribution of recorded_cost?"},{"title":"Pre-reporting data validation for finance","prompt":"Before I send our travel data to finance, can you run a quality check, normalize the team_group names, and give me a distribution breakdown of trip_count across all 80 rows?"},{"title":"Ops team travel data cleanup","prompt":"Our ops team's travel administration dataset has 30 rows with trip_count and recorded_cost — please audit the record quality, normalize the strings, and analyze the numeric distribution of trip_count so we can spot outliers."}],"resultDescription":"Three independent analytical reports returned together: (1) a record quality audit flagging missing, malformed, or out-of-range values across the supplied rows; (2) a string normalization report cleaning and standardizing team_group and date string fields; (3) a numeric distribution report summarizing the statistical spread (e.g. min, max, mean, percentiles) of the selected numeric field (trip_count or recorded_cost). All computed locally from supplied data with no external lookups.","failureModes":["More than 200 rows submitted — endpoint rejects with validation error","Missing required fields (row_id, date, trip_count, recorded_cost) in any row — validation failure","Date strings not matching YYYY-MM-DD pattern — schema rejection","Invalid field enum value (not trip_count or recorded_cost) — schema error","Empty rows array — minItems constraint violation","Payment not included or insufficient USDC — x402 payment required error"],"whenToPreferThis":"Choose this endpoint when you need three bundled analytical operations on travel administration records in a single low-cost call ($0.01 USDC): quality auditing, string normalization, and numeric distribution. It is ideal for pre-processing corporate travel datasets (up to 200 rows) before reporting or ingestion. Prefer this over single-purpose analytics endpoints when all three report types are needed simultaneously and the data is already available locally — no external lookups or predictions are performed.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-29T12:54:27.058Z","isFirstParty":false,"canonicalSlug":"travel-administration-data-quality-analytics-suite-644351b6"}