{"uid":"cap_Q3OYemG3XhMS0fxLuXrzy","slug":"null-coverage-analytics-numeric-distribution-secondary-measure-390e5ef3","name":"Null Coverage Analytics: Numeric Distribution + Secondary-Measure Weighted Mean","description":"Null coverage — Numeric distribution + Secondary-measure weighted mean: Numeric distribution + 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-03-082?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"}}},"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_DOsE_DEUwVp6G0JgtNf6d","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 a secondary-measure weighted mean for up to 200 null coverage records containing missing_values and total_values fields.","exampleAgentPrompt":"Analyze the null coverage in my dataset: I have 150 rows each with a row_id, dataset_group, date, missing_values, and total_values — run both the numeric distribution and the secondary-measure weighted mean reports on the missing_values field.","exampleUseCases":[{"title":"Data quality audit across dataset groups","prompt":"I have 80 records from our data warehouse with row IDs, group names, dates, missing_values, and total_values columns — can you compute the numeric distribution and weighted mean of missing_values so I can see where our null coverage is worst?"},{"title":"Monthly null coverage summary report","prompt":"Here are 120 rows of null coverage observations from October 2026, each with a row_id, dataset_group, date, missing_values, and total_values — give me both the distribution stats and the total_values-weighted mean for the missing_values field."},{"title":"Comparing missing data spread across pipeline stages","prompt":"I've got 50 pipeline monitoring records with row_id, dataset_group, date, missing_values, and total_values — run the numeric distribution and secondary-measure weighted mean on missing_values so I can compare null coverage across our pipeline stages."}],"resultDescription":"Returns two analytical reports: (1) a numeric distribution of the selected field (missing_values or total_values) across the supplied rows, and (2) a secondary-measure weighted mean where one field weights the other — all computed locally from the supplied data without any external lookup.","failureModes":["Fewer than 1 row or more than 200 rows supplied returns a validation error","Missing required fields (row_id, dataset_group, date, missing_values, total_values) causes rejection","Invalid date format (not YYYY-MM-DD) triggers a schema validation failure","Numeric values outside ±1,000,000,000,000 are rejected","Invalid field enum value (not missing_values or total_values) causes an error","All-null numeric columns may yield empty or undefined distribution results"],"whenToPreferThis":"Choose this endpoint when you need two quick statistical summaries — numeric distribution and weighted mean — on null coverage data (missing_values and total_values) for up to 200 rows, without needing external data lookups, predictions, or complex multi-pass analytics. It is ideal for data quality reporting workflows where you already have the raw null coverage counts and want fast, local computation at low cost ($0.01 USDC for both reports).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-16T06:55:07.212Z","isFirstParty":false,"canonicalSlug":"null-coverage-analytics-numeric-distribution-secondary-measure-390e5ef3"}