{"uid":"cap_87FhBI9AzHGww0raJ3rZg","slug":"travel-administration-numeric-interval-filter-adjacent-row-changes-9a5a13d1","name":"Travel Administration — Numeric Interval Filter + Adjacent Row Changes","description":"Travel administration — Numeric interval filter + Adjacent row changes: Numeric interval filter + 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-14-127?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"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_L-T6gjMTw7J6TSIh4pKax","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":"Filters travel administration records by a numeric interval on trip_count or recorded_cost, and computes adjacent row changes on the same dataset, returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"I have 50 travel records with row IDs, team groups, dates, trip counts, and recorded costs — can you filter them to only rows where trip_count is between 5 and 50, and also show me the adjacent row-to-row changes for that same dataset?","exampleUseCases":[{"title":"Budget range travel cost filtering","prompt":"Here are our Q4 travel records for all team groups — filter them to only rows where recorded_cost is between 200 and 1500, and give me the adjacent row changes for that cost field too."},{"title":"Trip volume spike detection","prompt":"I've got 120 rows of travel administration data by date and team group. Can you filter to rows where trip_count falls between 10 and 80, and show me the row-by-row change in trip_count so I can spot any big jumps?"},{"title":"Monthly team travel interval report","prompt":"Run two reports on my travel data for the marketing team: filter rows where trip_count is between 0 and 25, and also calculate the adjacent changes in trip_count across the rows — I have about 60 records to analyze."}],"resultDescription":"Returns two analytical reports: (1) the subset of supplied rows where the chosen numeric field (trip_count or recorded_cost) falls within the specified minimum–maximum interval, and (2) adjacent row-to-row change values for that same field across the dataset, covering up to 200 input rows.","failureModes":["Input array exceeds 200 rows — request will be rejected or truncated","minimum greater than maximum — invalid interval yields empty or error result","Missing required fields (row_id, date, trip_count, recorded_cost) cause row-level validation failure","Date string does not match YYYY-MM-DD pattern — row rejected","Null numeric values in the selected field may be excluded from interval filtering and change computation"],"whenToPreferThis":"Choose this endpoint when you have travel administration tabular data (up to 200 rows) and need both a numeric range filter and adjacent row change analysis in a single call at low cost ($0.01 USDC). It is ideal for offline, supplied-data analytics where no live lookup, external enrichment, or prediction is needed — just local computation on rows you already have.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-05T00:40:41.317Z","isFirstParty":false,"canonicalSlug":"travel-administration-numeric-interval-filter-adjacent-row-changes-9a5a13d1"}