{"uid":"cap_WOLJvyiZrxaZOxVOBGv-C","slug":"travel-administration-string-normalisation-two-measure-correlation-b92cd6bd","name":"Travel Administration String Normalisation + Two-Measure Correlation","description":"Travel administration — String normalisation + Two-measure correlation: String normalisation + 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-14-033?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_aZNKC4w2l5qS44t74njYZ","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":"Normalises strings and computes correlation between trip_count and recorded_cost across up to 200 travel administration rows, returning two independent analytical reports.","exampleAgentPrompt":"Can you normalize the team group strings and compute the correlation between trip_count and recorded_cost for my travel records? I have about 150 rows covering different team groups and dates from October 2026 — I need two analytical reports back.","exampleUseCases":[{"title":"Team travel cost correlation analysis","prompt":"I have travel records for our sales and ops teams with trip counts and recorded costs per day. Can you normalize the team group names and run a two-measure correlation between trip_count and recorded_cost across all 120 rows so I can see if more trips actually mean higher costs?"},{"title":"Travel data quality and metric relationship check","prompt":"We've got messy string data in our travel admin records — team group names aren't consistent. Please normalize those strings and also correlate trip_count against recorded_cost for the 80 rows I'm sending, and give me both reports."},{"title":"Monthly travel spend pattern validation","prompt":"Can you take these 200 rows of monthly travel administration data, clean up the team_group field with string normalization, and then compute the correlation between trip_count and recorded_cost? I want to see the two-report output to validate our spend patterns."}],"resultDescription":"Two independent analytical reports: (1) string normalisation results for team_group and other string fields across the submitted rows, and (2) a two-measure correlation analysis between trip_count and recorded_cost, computed locally without any external lookups or predictions.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Missing required fields (row_id, date, trip_count, recorded_cost) cause validation errors","Null values in both numeric measures may degrade or invalidate correlation computation","Malformed date strings not matching YYYY-MM-DD pattern will fail schema validation","Submitting zero rows returns an error due to minItems:1 constraint"],"whenToPreferThis":"Choose this endpoint when you have travel administration tabular data (up to 200 rows) and need both string normalisation of categorical fields and a statistical correlation between trip_count and recorded_cost in a single low-cost call. It is ideal for lightweight, offline analytical tasks on supplied data where no live lookup, external enrichment, or prediction is needed. Prefer it over general-purpose analytics APIs when you want a bundled two-report output at a fixed $0.01 USDC price point.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-29T13:16:48.575Z","isFirstParty":false,"canonicalSlug":"travel-administration-string-normalisation-two-measure-correlation-b92cd6bd"}