{"uid":"cap_kRoh8aH-O2l5obok4VciV","slug":"travel-administration-numeric-row-ordering-adjacent-row-changes-ff9df380","name":"Travel Administration — Numeric Row Ordering & Adjacent Row Changes","description":"Travel administration — Numeric row ordering + Adjacent row changes: Numeric row ordering + Adjacent row changes 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-14-116?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_SS2rjtLl1xNPTdSQR1XwL","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":"Sorts travel administration records (trip_count or recorded_cost) by numeric value and computes adjacent row differences, returning 2 analytical reports for up to 200 rows.","exampleAgentPrompt":"I have 50 rows of travel data with trip counts and recorded costs by team group — can you sort them by trip_count and show me the differences between each adjacent row?","exampleUseCases":[{"title":"Team Travel Cost Ranking","prompt":"I've got monthly travel records for our finance and ops teams across 30 dates — sort them by recorded_cost and show me how each row differs from the one before it."},{"title":"Trip Volume Change Detection","prompt":"Here are 80 rows of travel admin data with trip counts per team group — rank them by trip_count and give me the step-by-step differences between adjacent rows so I can spot big jumps."},{"title":"Multi-Group Travel Ordering Report","prompt":"I need two quick reports on our Q4 travel data: sort these 120 rows by recorded_cost and show adjacent row changes so the finance team can see where costs spike."}],"resultDescription":"Returns 2 analytical reports: (1) the input rows reordered by the selected numeric field (trip_count or recorded_cost) from lowest to highest, and (2) the computed difference between each row and its adjacent neighbor in the sorted sequence. Covers up to 200 input rows, all processed locally with no external lookups.","failureModes":["Input exceeds 200 rows — request will be rejected","Missing required fields (row_id, date, trip_count, recorded_cost) cause validation errors","Null values in the selected metric field may produce undefined adjacent differences","Invalid date format (not YYYY-MM-DD) triggers schema validation failure","Submitting an unsupported field enum value returns an error"],"whenToPreferThis":"Choose this endpoint when you need fast, low-cost numeric sorting and adjacent-row delta analysis on travel administration data (trip counts or recorded costs) without requiring live data lookups, predictions, or external integrations. Ideal for batch analytical passes on up to 200 pre-collected records at $0.01 per call.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T18:50:33.497Z","isFirstParty":false,"canonicalSlug":"travel-administration-numeric-row-ordering-adjacent-row-changes-ff9df380"}