{"uid":"cap_hcyepePZxPjoyqxe8mR-q","slug":"museum-footfall-explicit-missing-value-fill-e3013c43","name":"Museum Footfall Explicit Missing-Value Fill","description":"Museum footfall - Explicit missing-value fill: Explicit missing-value fill for Museum footfall. Up to 200 supplied typed records. Local descriptive analytics; no enrichment or forecast. One of 25 new profiles across 20 shared operations in this industry. 0.01 USDC includes one bounded explicit missing-value fill report.","url":"https://market.datapackvibe.com/x402/assistant-ar-analytics-museum-footfall-fill-missing?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","exhibit","date","visitors","dwell_minutes"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"exhibit":{"type":"string","default":"","maxLength":80},"visitors":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dwell_minutes":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","exhibit":"group-a","visitors":10,"dwell_minutes":1},{"date":"2026-10-02","row_id":"row-2","exhibit":"group-b","visitors":20,"dwell_minutes":2},{"date":"2026-10-03","row_id":"row-3","exhibit":"group-a","visitors":15,"dwell_minutes":3},{"date":"2026-10-04","row_id":"row-4","exhibit":"group-b","visitors":30,"dwell_minutes":4}],"maxItems":200,"minItems":1},"field":{"enum":["visitors","dwell_minutes"],"type":"string","default":"visitors"},"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_cZuDW74Tuizd6dfzGhkcS","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":"Fills missing numeric values (visitors or dwell_minutes) in museum footfall records using zero, mean, or median imputation","exampleAgentPrompt":"I have museum footfall records for our exhibits with some null visitor counts — can you fill those missing values using median imputation across up to 200 rows? My data has row IDs, exhibit names, dates, visitor counts, and dwell minutes.","exampleUseCases":[{"title":"Fix gaps before attendance report","prompt":"We have daily visitor counts for our Natural History exhibit from last quarter but several rows have null values — fill the missing visitor counts using median imputation so I can generate a complete attendance report."},{"title":"Impute dwell time for exhibit analysis","prompt":"My museum footfall dataset has missing dwell_minutes for some exhibits — can you fill those nulls using mean imputation across the dataset? I've got about 150 rows covering multiple exhibit groups."},{"title":"Zero-fill missing counts for dashboard","prompt":"I need to zero-fill any missing visitor entries in our museum footfall data before pushing it to the dashboard — the dataset has exhibit names, dates, and row IDs, with some nulls in the visitors field."}],"resultDescription":"A bounded report containing the original museum footfall records with missing values in the specified field (visitors or dwell_minutes) replaced using the chosen method (zero, mean, or median). The response includes up to 200 rows with imputed values and local descriptive analytics — no forecasting or external enrichment.","failureModes":["Input array exceeds 200 rows — request rejected","Invalid date format (not YYYY-MM-DD) — validation error","Unknown field value outside enum ['visitors','dwell_minutes'] — rejected","Unknown method value outside enum ['zero','mean','median'] — rejected","All values in the target field are non-null — fill report returned with no changes","Empty rows array — minimum 1 item required"],"whenToPreferThis":"Choose this endpoint when you have museum footfall records (per exhibit, per date) with null visitor counts or dwell minutes and need a fast, local imputation pass using zero, mean, or median fill — up to 200 rows per call. It is ideal for pre-processing data before dashboarding or reporting when no forecasting or external enrichment is needed. Prefer alternatives if you need outlier detection, duplicate key identification, or predictive gap-filling.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:58:24.803Z","isFirstParty":false,"canonicalSlug":"museum-footfall-explicit-missing-value-fill-e3013c43"}