{"uid":"cap_PPDMpulsRUUf-iwd3SesY","slug":"null-coverage-analytics-numeric-row-ordering-explicit-missing-value-768bac92","name":"Null Coverage Analytics: Numeric Row Ordering + Explicit Missing-Value Fill","description":"Null coverage — Numeric row ordering + Explicit missing-value fill: Numeric row ordering + 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-03-124?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"}}},"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_poSB8aJnrZhgRoN7eNXZG","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":"Analyzes up to 200 rows of null-coverage data by applying numeric row ordering and filling missing values using zero, mean, or median imputation, producing 2 independent analytical reports per call.","exampleAgentPrompt":"I have 150 rows of dataset records with missing_values and total_values columns — can you order them numerically by row and fill in any missing entries using median imputation, then give me 2 analytical reports on the null coverage?","exampleUseCases":[{"title":"Data completeness audit for grouped records","prompt":"I've got 80 rows across two dataset groups — group-a and group-b — each with a date, missing_values, and total_values. Can you sort them numerically and fill any missing_values gaps using median, then produce 2 null coverage reports so I can see where my data has holes?"},{"title":"Zero-fill imputation for total values column","prompt":"My dataset has 120 rows with some null entries in the total_values field. Can you apply zero-fill imputation to total_values, order the rows numerically, and give me 2 independent reports on the null coverage across my records?"},{"title":"Mean imputation for QA pipeline validation","prompt":"Before I run my QA pipeline, I need to check null coverage on 200 rows — row IDs row-1 through row-200, mixed across dataset groups, with missing_values and total_values supplied. Please fill missing_values using mean imputation and return 2 analytical reports showing the coverage stats."}],"resultDescription":"Returns 2 independent analytical reports per call covering: numerically ordered row results, the chosen missing-value fill applied to the specified field (missing_values or total_values), null coverage rates, and data completeness summaries — all computed locally without external lookups.","failureModes":["More than 200 rows submitted — exceeds maxItems limit","Missing required fields (row_id, dataset_group, date, missing_values, total_values) on any row","Invalid date format (must match YYYY-MM-DD pattern)","Invalid method enum value (must be zero, mean, or median)","Invalid field enum value (must be missing_values or total_values)","Payment not processed or insufficient USDC balance"],"whenToPreferThis":"Choose this endpoint when you need lightweight, local statistical imputation and null-coverage analysis on small-to-medium tabular datasets (up to 200 rows) without any external data lookup or prediction. It is ideal for data quality pipelines, pre-processing validation, or quick completeness audits where you want two independent analytical perspectives at low cost ($0.01 USDC). Prefer it over heavier analytics platforms when your dataset is already supplied and you just need imputation + ordering + coverage metrics.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:36:52.993Z","isFirstParty":false,"canonicalSlug":"null-coverage-analytics-numeric-row-ordering-explicit-missing-value-768bac92"}