{"uid":"cap_5M_hMaV5seQ_3GKDsfAvw","slug":"travel-administration-adjacent-row-changes-equal-width-histogram-77c3624b","name":"Travel Administration — Adjacent Row Changes + Equal-Width Histogram","description":"Travel administration — Adjacent row changes + Equal-width histogram: Adjacent row changes + Equal-width histogram 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-14-156?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"bins":{"type":"integer","default":5,"maximum":30,"minimum":1},"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_AsA_N789ORaSr9sMK7Pv7","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 adjacent row changes and an equal-width histogram for travel administration records (trip_count or recorded_cost) across up to 200 rows.","exampleAgentPrompt":"I have 120 travel administration records with trip_count and recorded_cost — can you run an adjacent row changes analysis and an equal-width histogram with 10 bins on the trip_count field for all of them?","exampleUseCases":[{"title":"Fleet trip count trend analysis","prompt":"I have 80 rows of our corporate travel records by team group and date. Run adjacent row changes and a 5-bin histogram on the trip_count field so I can see how trip volumes shift sequentially and how they're distributed."},{"title":"Travel cost distribution audit","prompt":"Here are 150 travel admin records for Q3. Give me an adjacent row changes report and an equal-width histogram with 8 bins on the recorded_cost field — I want to spot cost spikes and see the overall spend distribution."},{"title":"Team travel comparison by date","prompt":"I've got 60 travel records across two team groups over the last month. Can you compute row-to-row changes and a 6-bin histogram on trip_count so I can compare sequential movement and frequency spread?"}],"resultDescription":"Returns two analytical reports: (1) an adjacent row changes report showing row-over-row delta values for the selected field (trip_count or recorded_cost), and (2) an equal-width histogram report with configurable bin count (1–30) showing the frequency distribution of values across all supplied rows. Both reports are computed locally from the supplied data with no external lookups.","failureModes":["More than 200 rows submitted — exceeds maxItems limit, request rejected","Invalid date format (not YYYY-MM-DD) causes schema validation failure","Bin count outside 1–30 range returns validation error","Missing required fields (row_id, team_group, date, trip_count, recorded_cost) cause schema rejection","All values null for selected field may produce degenerate histogram or empty change series"],"whenToPreferThis":"Choose this endpoint when you need both a sequential row-difference analysis and a binned frequency distribution on travel administration data (trip_count or recorded_cost) in a single low-cost call. It is purpose-built for travel operations records and bundles two analytical reports for $0.01 USDC — ideal when you have up to 200 pre-assembled rows and want fast, local computation without prediction, live lookup, or external data enrichment.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-29T13:16:14.692Z","isFirstParty":false,"canonicalSlug":"travel-administration-adjacent-row-changes-equal-width-histogram-77c3624b"}