{"uid":"cap_KILZGVKejTkdt-e7YPbN5","slug":"travel-administration-iqr-outlier-flags-secondary-measure-weighted-mean-a28c39c2","name":"Travel Administration IQR Outlier Flags + Secondary-Measure Weighted Mean","description":"Travel administration — IQR outlier flags + Secondary-measure weighted mean: IQR outlier flags + Secondary-measure weighted mean 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-14-177?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_kVZqv6RSBYamJp1In1XGR","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":"Runs two local analytical reports on travel administration data: IQR-based outlier detection and secondary-measure weighted mean, for up to 200 rows of trip_count and recorded_cost records.","exampleAgentPrompt":"Analyze these travel records for my team groups — flag any IQR outliers and compute the weighted mean on the trip_count field: row-1 group-a 2026-10-01 trip_count=10 recorded_cost=500, row-2 group-b 2026-10-02 trip_count=200 recorded_cost=5000, row-3 group-a 2026-10-03 trip_count=15 recorded_cost=480, row-4 group-b 2026-10-04 trip_count=18 recorded_cost=520.","exampleUseCases":[{"title":"Expense anomaly detection for travel team","prompt":"I have 50 rows of corporate travel data with trip counts and costs per team group — can you flag any IQR outliers and give me the weighted mean on recorded_cost so I can spot which teams are overspending?"},{"title":"Monthly travel audit statistical check","prompt":"Run IQR outlier detection and a weighted mean on trip_count for these 120 travel administration records from last month — the field I care most about is trip_count and I need to know which rows are statistical anomalies."},{"title":"Multi-team trip frequency analysis","prompt":"Here are 80 rows of travel records across our regional groups with dates, trip counts, and recorded costs — can you compute the secondary-measure weighted mean and flag any IQR outliers on the trip_count field?"}],"resultDescription":"Returns two independent analytical reports: (1) IQR outlier flags identifying which rows contain values outside the interquartile range for the selected field, and (2) a secondary-measure weighted mean computed across the supplied travel administration records. No external data is fetched; all computation is performed locally on the provided rows.","failureModes":["More than 200 rows submitted — request rejected or truncated","Missing required fields (row_id, date, trip_count, or recorded_cost) — validation error","Date field not in YYYY-MM-DD format — schema validation failure","Invalid field enum value (not 'trip_count' or 'recorded_cost') — rejected","All numeric values are null — unable to compute meaningful statistics","Payment not included or insufficient — 402 response"],"whenToPreferThis":"Choose this endpoint when you need both IQR-based outlier detection and a weighted mean computed together on travel administration records (trip counts and costs) in a single $0.01 call covering up to 200 rows. It is ideal for lightweight statistical audits of corporate travel datasets without needing a full analytics platform or external lookups. Prefer alternatives if you need more than 200 rows, predictions, real-time data enrichment, or domain-specific travel expertise.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-28T12:42:10.886Z","isFirstParty":false,"canonicalSlug":"travel-administration-iqr-outlier-flags-secondary-measure-weighted-mean-a28c39c2"}