{"uid":"cap_kijC0cmdipcqjL-NPY-wM","slug":"travel-administration-data-quality-suite-record-audit-string-2590aed4","name":"Travel Administration Data Quality Suite — Record Audit, String Normalisation & Duplicate Key Report","description":"Travel administration — Record quality audit + String normalisation + Duplicate key report: Record quality audit + String normalisation + Duplicate key report 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-14-192?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_kqrbUg3e6EsKrDo0KqNhF","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 independent analytical reports (record quality audit, string normalisation, and duplicate key detection) on up to 200 travel administration records containing trip counts and recorded costs.","exampleAgentPrompt":"Can you run a full quality check on these travel administration records — I need a record quality audit, string normalisation, and a duplicate key report for up to 200 rows with fields like row_id, team_group, date, trip_count, and recorded_cost?","exampleUseCases":[{"title":"Pre-analysis travel data cleanup","prompt":"I have 150 rows of travel expense records with team_group, date, trip_count, and recorded_cost fields — can you audit them for quality issues, normalise the string fields, and flag any duplicate row IDs before I hand them off to finance?"},{"title":"Detecting duplicate bookings in trip data","prompt":"Our travel admin system exported records with row IDs, team groups, dates, and trip counts — can you check if there are any duplicate keys so we don't double-count trips in our reporting?"},{"title":"Standardising team group labels across records","prompt":"I've got about 80 travel records where the team_group names are inconsistently formatted — things like 'Group A', 'group-a', 'GROUP A' — can you run a string normalisation report so I know what needs fixing?"}],"resultDescription":"Returns three independent reports: (1) a record quality audit flagging missing, null, or out-of-range values in trip_count and recorded_cost fields; (2) a string normalisation report identifying and standardising inconsistent text in team_group and date fields; and (3) a duplicate key report listing any row_id values that appear more than once across the submitted records. All analysis is performed locally on the supplied data with no external lookups.","failureModes":["Submitting more than 200 rows returns a validation error — batch must be split","Missing required fields (row_id, team_group, date, trip_count, recorded_cost) on any row causes rejection","Malformed date strings not matching YYYY-MM-DD pattern trigger schema validation failure","Empty rows array (minItems: 1 not met) returns an input validation error","Numeric values outside the allowed range (±1,000,000,000,000) are rejected at schema level"],"whenToPreferThis":"Choose this endpoint when you need to validate, clean, and deduplicate travel administration records (specifically trip_count and recorded_cost fields) in a single low-cost call. It is ideal for pre-processing datasets of up to 200 rows before downstream analysis or reporting. It is not suitable for real-time lookups, predictive analytics, or data involving entities other than travel administration records.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T18:51:11.693Z","isFirstParty":false,"canonicalSlug":"travel-administration-data-quality-suite-record-audit-string-2590aed4"}