{"uid":"cap_tTp0nF_MLiDwSomDQ05uE","slug":"travel-administration-data-quality-suite-record-audit-string-8dc8e3ac","name":"Travel Administration Data Quality Suite (Record Audit + String Normalisation + Deduplication)","description":"Travel administration — Record quality audit + String normalisation + Exact row deduplication: Record quality audit + String normalisation + Exact row deduplication 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-14-191?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_801ZZKaYx0V6MF2xAeQEt","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 local analytical reports on travel administration records: a record quality audit, string normalisation, and exact row deduplication — for up to 200 rows of trip_count and recorded_cost data.","exampleAgentPrompt":"Can you audit these travel records for quality issues, normalise the team group strings, and remove any exact duplicate rows? I have data with fields like row_id, team_group, date, trip_count, and recorded_cost — up to about 50 rows covering our Q4 travel.","exampleUseCases":[{"title":"Pre-reporting travel data cleanup","prompt":"Before I submit our quarterly travel report, can you run a quality audit, string normalisation, and exact deduplication on these 80 travel records? Each row has a row_id, team_group, date, trip_count, and recorded_cost."},{"title":"Detecting duplicate trip submissions","prompt":"I think some of our travel entries have been submitted twice — can you run an exact row deduplication check on these 120 travel administration records so I can see which rows are duplicates?"},{"title":"Standardising team group labels in trip data","prompt":"Our team_group names are inconsistent across these 60 travel records — some are capitalised differently or have extra spaces. Can you run string normalisation plus a record quality audit on them so we get clean, consistent data?"}],"resultDescription":"Three separate analytical reports delivered for the submitted rows: (1) a record quality audit flagging missing, null, or out-of-range values in trip_count and recorded_cost; (2) a string normalisation report showing standardised versions of text fields like team_group; (3) an exact row deduplication report identifying and removing fully identical rows. All processing is local with no external lookups.","failureModes":["Exceeding 200 rows returns a validation error — the endpoint only supports up to 200 rows per call","Missing required fields (row_id, team_group, date, trip_count, recorded_cost) will cause row-level validation failures","Malformed date strings not matching YYYY-MM-DD pattern will be flagged or rejected","Numeric values outside the allowed range (±1,000,000,000,000) will fail schema validation","Empty rows array (minItems:1 not met) will return an error"],"whenToPreferThis":"Choose this endpoint when you need three complementary data quality operations — audit, normalisation, and deduplication — bundled into a single call for travel administration records with trip_count and recorded_cost fields, at low cost ($0.01 USDC for all three reports). Prefer it over single-purpose cleaning tools when you want a comprehensive data quality pass without making multiple API calls. It is best suited for batch offline data quality workflows, not real-time or predictive tasks.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:33:49.901Z","isFirstParty":false,"canonicalSlug":"travel-administration-data-quality-suite-record-audit-string-8dc8e3ac"}