{"uid":"cap_zxIjzBFm0pSQCXSDBn9Fj","slug":"travel-administration-numeric-row-ordering-iqr-outlier-flags-47cdebcc","name":"Travel Administration — Numeric Row Ordering + IQR Outlier Flags","description":"Travel administration — Numeric row ordering + IQR outlier flags: Numeric row ordering + IQR outlier flags 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-14-119?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_pr9_QsxY2Tz-yqjWlSLez","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 by a numeric field and flags statistical outliers using the interquartile range (IQR) method, delivering two analytical reports for up to 200 rows.","exampleAgentPrompt":"Sort my travel administration records by trip_count and flag any IQR outliers — here are up to 200 rows with row IDs, team groups, dates, trip counts, and recorded costs. I need both the ordered ranking and the outlier flags in the output.","exampleUseCases":[{"title":"Audit team travel spending anomalies","prompt":"I have monthly travel records for our regional teams — can you sort them by recorded_cost and flag any rows that look like statistical outliers using IQR? I'll give you the row IDs, team groups, dates, and costs."},{"title":"Rank trip frequency and detect unusual volumes","prompt":"Here are 150 rows of corporate travel data with trip counts per team group. Sort them by trip_count from lowest to highest and tell me which rows are flagged as outliers by IQR analysis."},{"title":"Finance review of travel cost distribution","prompt":"I need to review our Q3 travel expenses for outliers — can you take these 80 travel records with recorded_cost values, order them numerically, and highlight any that fall outside the IQR bounds?"}],"resultDescription":"Returns two analytical reports: (1) rows sorted in numeric order by the selected field (trip_count or recorded_cost), and (2) IQR-based outlier flags identifying which rows have values statistically far from the interquartile range. No external data is used — analysis is performed entirely on the supplied rows.","failureModes":["Input array is empty or missing required fields (row_id, date, trip_count, recorded_cost) — returns validation error","More than 200 rows submitted — exceeds maximum row limit","Invalid date format (must match YYYY-MM-DD pattern) — rejected by schema validation","Numeric fields contain values outside the ±1,000,000,000,000 bounds — rejected","Insufficient data points for meaningful IQR calculation (e.g., only 1-3 rows) — outlier report may be trivial or undefined"],"whenToPreferThis":"Choose this endpoint when you have travel administration data (trip counts, recorded costs) and need both a numerically sorted ranking and IQR-based statistical outlier detection in a single call. Ideal for batch auditing up to 200 travel records offline without any external lookups or live data dependencies. Prefer this over general analytics tools when your data is already structured with row_id, team_group, date, trip_count, and recorded_cost fields and you want two ready-made reports at low cost.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:33:26.075Z","isFirstParty":false,"canonicalSlug":"travel-administration-numeric-row-ordering-iqr-outlier-flags-47cdebcc"}