{"uid":"cap_KMn4joQ8dXlz5ixW2R7PP","slug":"travel-administration-daily-sum-series-and-two-measure-correlation-b952db69","name":"Travel Administration Daily Sum Series and Two-Measure Correlation","description":"Travel administration — Daily sum series + Two-measure correlation: Daily sum series + Two-measure correlation for supplied travel administration records (trip_count, recorded_cost). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-operations-14-141?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_-wiAMI7SLF7BBTjCRGfsN","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":"Computes a daily sum time series and a Pearson/correlation analysis between trip_count and recorded_cost for supplied travel administration records (up to 200 rows).","exampleAgentPrompt":"Can you compute the daily sum series and correlation between trip_count and recorded_cost for this travel data? I have rows with dates from 2026-10-01 to 2026-10-04 covering group-a and group-b teams, and I want to analyze by trip_count.","exampleUseCases":[{"title":"Monthly travel cost trend analysis","prompt":"I have 150 rows of corporate travel records with dates, team groups, trip counts, and recorded costs for last quarter — can you generate the daily sum series and correlation between trip_count and recorded_cost so I can see which days had the highest spend and whether more trips mean higher costs?"},{"title":"Team group trip pattern comparison","prompt":"Can you run a daily sum series plus a two-measure correlation on these 80 travel administration records for my sales and ops teams? The data has trip_count and recorded_cost per day and I want to know if the two measures move together."},{"title":"Weekly travel budget reconciliation","prompt":"I need to reconcile our travel budget — here are 60 rows of trip records by date and department. Please compute the daily sum series for recorded_cost and also show me the correlation between trip_count and recorded_cost so I can flag anomalies."}],"resultDescription":"Returns two analytical reports: (1) a daily sum series aggregating the selected measure (trip_count or recorded_cost) by date across up to 200 input rows, and (2) a correlation analysis between trip_count and recorded_cost, both computed locally without any external lookups or predictions.","failureModes":["Input exceeds 200 rows — request will be rejected or truncated","Missing required fields (row_id, date, team_group, trip_count, recorded_cost) cause validation errors","Malformed date strings not matching YYYY-MM-DD pattern cause parsing failures","All-null numeric columns prevent meaningful correlation calculation","Empty rows array returns an error"],"whenToPreferThis":"Choose this endpoint when you have pre-collected travel administration records (up to 200 rows) and need both a daily aggregated time series AND a statistical correlation between trip count and cost in a single API call for $0.01 USDC. It is ideal for offline/batch analytical tasks on supplied data where no live data fetching, predictions, or external integrations are needed.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-28T06:48:24.938Z","isFirstParty":false,"canonicalSlug":"travel-administration-daily-sum-series-and-two-measure-correlation-b952db69"}