{"uid":"cap_TwpMVmX-BaEIwm-VQHMw1","slug":"travel-administration-analytics-numeric-distribution-missing-value-fill-5130d5e8","name":"Travel Administration Analytics — Numeric Distribution & Missing-Value Fill","description":"Travel administration — Numeric distribution + Explicit missing-value fill: Numeric distribution + Explicit missing-value fill 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-14-085?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"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"}}},"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_9niAe7kS1MrZoV2ShxU_L","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 numeric distribution statistics and fills missing values (zero/mean/median) for travel administration records (trip_count, recorded_cost) across up to 200 rows.","exampleAgentPrompt":"Can you analyze the distribution of trip_count values and fill any missing recorded_cost entries using median imputation for these travel records? I have up to 50 rows with fields like row_id, team_group, date, trip_count, and recorded_cost.","exampleUseCases":[{"title":"Team travel cost distribution audit","prompt":"I have 80 rows of travel records for our engineering and sales teams — each with a date, trip count, and recorded cost. Can you compute the numeric distribution of recorded_cost across all rows so I can understand the spread and any outliers?"},{"title":"Missing trip count imputation","prompt":"Some of our travel administration rows are missing trip_count values. Can you fill those nulls using the median of the available trip_count data? I'll send you around 120 rows with row_id, team_group, date, trip_count, and recorded_cost fields."},{"title":"Zero-fill gaps in travel cost data","prompt":"We have travel logs with some blank recorded_cost entries — can you replace those missing values with zero and also give me the distribution report for trip_count? The dataset has about 150 rows organized by team group and date."}],"resultDescription":"Returns two analytical reports: (1) a numeric distribution summary for the specified field (trip_count or recorded_cost) covering measures like min, max, mean, median, and spread across up to 200 rows; and (2) a missing-value fill report showing which rows had nulls and what replacement values (zero, mean, or median) were applied.","failureModes":["Exceeds 200-row limit — request rejected or truncated","Invalid date format (not YYYY-MM-DD) causes schema validation failure","Missing required fields (row_id, team_group, date) result in error","Numeric values outside ±1,000,000,000,000 boundary cause validation error","Invalid method enum value (not zero/mean/median) causes rejection","Invalid field enum value (not trip_count/recorded_cost) causes rejection","Empty rows array (minItems:1 violation) returns error"],"whenToPreferThis":"Choose this endpoint when you have tabular travel administration data with trip_count and/or recorded_cost fields and need both a distribution summary and missing-value imputation in a single call. Ideal for data quality pipelines, travel expense audits, or analytics preprocessing steps where you want offline statistical analysis without live lookups or external data enrichment.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T18:50:28.438Z","isFirstParty":false,"canonicalSlug":"travel-administration-analytics-numeric-distribution-missing-value-fill-5130d5e8"}