{"uid":"cap_57F5fgjBU0b_lGp8E67Do","slug":"travel-administration-data-quality-analytics-record-audit-string-b761a482","name":"Travel Administration Data Quality & Analytics (Record Audit + String Normalisation + Trailing Mean)","description":"Travel administration — Record quality audit + String normalisation + Trailing mean series: Record quality audit + String normalisation + Trailing mean series 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-14-199?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"},"window":{"type":"integer","default":2,"maximum":200,"minimum":2}}},"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_Zjp9MegczGXo53UTbYZod","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: record quality audit, string normalisation, and trailing mean series for trip_count or recorded_cost fields.","exampleAgentPrompt":"Can you run a record quality audit, string normalisation, and trailing mean series (window size 3) on my travel data for the 'trip_count' field? Here are the rows: row-1, group-a, 2026-10-01, 10 trips, $1 cost; row-2, group-b, 2026-10-02, 20 trips, $2 cost; row-3, group-a, 2026-10-03, 15 trips, $3 cost.","exampleUseCases":[{"title":"Monthly travel spend rolling average","prompt":"I have 50 rows of monthly travel records with team groups and recorded costs — can you calculate a trailing mean series with a window of 5 for the recorded_cost field, plus run a quality audit and string normalisation on all the rows?"},{"title":"Team travel data cleanup before reporting","prompt":"Before I send my travel report to finance, can you audit the record quality, normalise the team_group strings, and give me a trailing mean of trip_count with window 4 for these 30 rows of travel data?"},{"title":"Detect anomalies in trip count trends","prompt":"I've got a dataset of 100 travel admin rows and I want to see a rolling mean of trip_count using a window of 7, along with a quality audit and string normalisation — can you run all three reports?"}],"resultDescription":"Three independent analytical reports: (1) a record quality audit flagging completeness and consistency issues across the supplied rows, (2) normalised string values for team_group and other text fields, and (3) a trailing mean series for the selected numeric field (trip_count or recorded_cost) computed over the specified window. All reports are generated locally from the supplied data with no external lookups.","failureModes":["Fewer than 1 row or more than 200 rows supplied returns a validation error","Window size larger than the number of rows causes trailing mean to fail or return partial results","Invalid date format (not YYYY-MM-DD) triggers a schema validation error","Missing required fields (row_id, date, trip_count, recorded_cost) cause row rejection","Numeric values outside ±1,000,000,000,000 are rejected","Payment not included or insufficient causes HTTP 402 response"],"whenToPreferThis":"Choose this endpoint when you need three combined analytical passes — quality audit, string normalisation, and rolling mean — on up to 200 travel administration records in a single $0.01 call, with no need for external data enrichment, live lookups, or AI-generated predictions. Ideal for pre-reporting data hygiene and trend smoothing on travel cost or trip count datasets.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-31T00:42:29.134Z","isFirstParty":false,"canonicalSlug":"travel-administration-data-quality-analytics-record-audit-string-b761a482"}