{"uid":"cap_c0gzvfGuTOPtvqSV5tm9x","slug":"null-coverage-numeric-interval-filter-and-missing-value-fill-82ead6ff","name":"Null Coverage Numeric Interval Filter and Missing Value Fill","description":"Null coverage — Numeric interval filter + Explicit missing-value fill: Numeric interval filter + Explicit missing-value fill for supplied null coverage records (missing_values, total_values). 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-analytics-03-135?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","missing_values","total_values"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"total_values":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80},"missing_values":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","total_values":1,"dataset_group":"group-a","missing_values":10},{"date":"2026-10-02","row_id":"row-2","total_values":2,"dataset_group":"group-b","missing_values":20},{"date":"2026-10-03","row_id":"row-3","total_values":3,"dataset_group":"group-a","missing_values":15},{"date":"2026-10-04","row_id":"row-4","total_values":4,"dataset_group":"group-b","missing_values":30}],"maxItems":200,"minItems":1},"field":{"enum":["missing_values","total_values"],"type":"string","default":"missing_values"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_MVULRL_0WX0Yw7QI8tnhf","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":"Filters null coverage records by a numeric interval on a chosen field and fills explicit missing values using zero, mean, or median imputation — returns two analytical reports for up to 200 rows.","exampleAgentPrompt":"I have 150 null coverage records with missing_values and total_values columns — can you filter them to only rows where missing_values is between 0 and 100, and fill any nulls using the median? Here's the data as a JSON array of rows.","exampleUseCases":[{"title":"Median imputation for survey null coverage","prompt":"I've got a batch of 80 survey null coverage rows and some of the missing_values entries are null — can you fill those nulls using the median and also filter to only rows where missing_values is between 5 and 200?"},{"title":"Zero-fill and range filter for ETL pipeline","prompt":"Before I load this data, I need to zero-fill any null total_values entries and filter out rows where total_values falls outside the range 0 to 1000000. Here are my 120 null coverage records."},{"title":"Mean imputation for multi-group dataset audit","prompt":"I have null coverage records across two dataset groups — group-a and group-b — and I want to fill missing_values nulls using the mean, then get a report showing only rows where missing_values is between 10 and 500. Can you run that for my 60 rows?"}],"resultDescription":"Returns two independent analytical reports: one showing rows filtered by the specified numeric interval on the chosen field (missing_values or total_values), and one with explicit missing values filled using the selected method (zero, mean, or median). Both reports are computed locally on the supplied data with no external lookups.","failureModes":["Fewer than 1 or more than 200 rows submitted — request rejected","date field does not match YYYY-MM-DD pattern — validation error","minimum value exceeds maximum value — interval filter may return empty result set","All values in chosen field are null — mean/median imputation may be undefined","row_id missing or empty — required field error","total_values or missing_values outside allowed range (±1,000,000,000,000) — schema error"],"whenToPreferThis":"Choose this endpoint when you need to both filter null coverage records by a numeric range AND impute missing numeric values in a single paid call — getting two reports for $0.01 USDC. Prefer it over general-purpose data tools when your dataset has up to 200 rows with missing_values and total_values columns and you need deterministic, local computation with no external data access.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:58:19.980Z","isFirstParty":false,"canonicalSlug":"null-coverage-numeric-interval-filter-and-missing-value-fill-82ead6ff"}