{"uid":"cap_8sL91TRCuePsSeNfnQmuv","slug":"travel-administration-data-quality-analytics-record-audit-string-caf35011","name":"Travel Administration Data Quality & Analytics — Record Audit, String Normalisation, Category Frequencies","description":"Travel administration — Record quality audit + String normalisation + Category frequencies: Record quality audit + String normalisation + Category frequencies 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-14-195?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_v6thYJ-bKjEy4_Qzd-YFm","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 analytical reports on up to 200 travel administration rows: a record quality audit, string normalisation, and category frequency counts for trip_count and recorded_cost fields.","exampleAgentPrompt":"Can you run a full data quality audit, string normalisation, and category frequency analysis on these travel records? I have up to 150 rows with fields like row_id, team_group, date, trip_count, and recorded_cost — I want all three reports in one shot.","exampleUseCases":[{"title":"Travel expense data quality review","prompt":"I've got 120 rows of travel expense records with team group names, dates, trip counts, and recorded costs — can you audit them for quality issues, normalise the team group strings, and give me frequency counts for each category?"},{"title":"Finance team trip log validation","prompt":"Our finance team submitted 80 travel administration rows for October. Please check them for record quality problems, clean up any inconsistent string formatting, and show me how often each team_group appears in the dataset."},{"title":"Monthly travel analytics batch check","prompt":"Before I import these 200 travel administration records into our system, run the three-report analysis — quality audit, string normalisation, and category frequencies on trip_count and recorded_cost — so I can catch any issues first."}],"resultDescription":"Returns three independent analytical reports: (1) a record quality audit flagging nulls, out-of-range values, and malformed fields across all rows; (2) normalised versions of string fields like team_group; (3) category frequency counts showing how often each distinct value appears in the categorical fields of trip_count and recorded_cost. All computed locally from the supplied data with no external lookups.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Missing required fields (row_id, team_group, date, trip_count, recorded_cost) causes validation error","Malformed date strings not matching YYYY-MM-DD pattern rejected","Numeric values outside ±1,000,000,000,000 range rejected","Empty rows array returns error","Payment failure via x402 protocol prevents execution"],"whenToPreferThis":"Choose this endpoint when you need a combined data quality audit, string normalisation, and category frequency analysis on a small-to-medium travel administration dataset (up to 200 rows) in a single API call for a flat $0.01 USDC. It is ideal for pre-import validation, ad hoc data cleaning, and exploratory analytics on travel expense records without requiring a dedicated data pipeline or external data warehouse.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-28T06:48:13.140Z","isFirstParty":false,"canonicalSlug":"travel-administration-data-quality-analytics-record-audit-string-caf35011"}