{"uid":"cap_TRga3bB3TAzj7ShFgQFuA","slug":"null-coverage-analytics-numeric-interval-filter-secondary-measure-3da6148a","name":"Null Coverage Analytics — Numeric Interval Filter + Secondary-Measure Weighted Mean","description":"Null coverage — Numeric interval filter + Secondary-measure weighted mean: Numeric interval filter + Secondary-measure weighted mean 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-03-132?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"},"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_Mrs9vJtL8-GgSaaclBVvd","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 and computes a secondary-measure weighted mean, returning 2 analytical reports for up to 200 rows of supplied data.","exampleAgentPrompt":"I have 150 null coverage records with missing_values and total_values columns — can you filter rows where missing_values is between 5 and 50, compute the weighted mean of total_values, and give me both analytical reports?","exampleUseCases":[{"title":"Data quality audit for pipeline monitoring","prompt":"I've got 80 rows of pipeline null coverage data with missing_values and total_values. Filter to rows where missing_values is between 0 and 20, then compute the weighted mean of total_values and give me the two reports."},{"title":"Identifying high-missingness dataset groups","prompt":"Here are 120 null coverage records across several dataset groups. Filter them where missing_values falls between 30 and 200, compute the secondary-measure weighted mean using total_values, and return both analytical summaries."},{"title":"Weekly data completeness review","prompt":"Run a null coverage analysis on these 60 rows for the week — filter missing_values between 10 and 100, use total_values as the weight field, and produce both reports so I can review completeness trends."}],"resultDescription":"Two analytical reports covering: (1) rows filtered to the specified numeric interval on the chosen field (missing_values or total_values), and (2) a weighted mean of the secondary measure across those filtered rows — all computed locally from the supplied data with no external lookups.","failureModes":["Fewer than 1 or more than 200 rows submitted — returns validation error","Missing required fields (row_id, date, missing_values, total_values) on any row — schema rejection","Date field not matching YYYY-MM-DD pattern — validation failure","minimum greater than maximum threshold — may return empty filtered set or error","Null values in missing_values or total_values may affect weighted mean computation"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of null-coverage records (missing_values, total_values) and need two self-contained analytical outputs: an interval-filtered view and a weighted mean — all computed from your own supplied data without any external data access, live lookup, or prediction. It is ideal for lightweight, low-cost ($0.01 USDC) data-quality profiling tasks where you control the input dataset.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:58:00.279Z","isFirstParty":false,"canonicalSlug":"null-coverage-analytics-numeric-interval-filter-secondary-measure-3da6148a"}