{"uid":"cap_ThN1EJDR4jCXG2gPcEePJ","slug":"null-coverage-analytics-numeric-distribution-grouped-numeric-summary-21f58595","name":"Null Coverage Analytics: Numeric Distribution + Grouped Numeric Summary","description":"Null coverage — Numeric distribution + Grouped numeric summary: Numeric distribution + Grouped numeric summary 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-03-071?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_DuyMmSMdwG4_AaHIIRxKh","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 a numeric distribution report and a grouped numeric summary for up to 200 rows of null-coverage data (missing_values, total_values) using local analytical engines.","exampleAgentPrompt":"Can you run a numeric distribution and grouped summary on this null coverage data — I've got up to 50 rows each with a row_id, dataset_group, date, missing_values, and total_values, and I want to analyze the missing_values field?","exampleUseCases":[{"title":"Data Quality Audit by Team","prompt":"I have 120 rows of null coverage records from three dataset groups — 'finance', 'ops', and 'marketing' — each with missing_values and total_values. Can you give me a numeric distribution and a grouped summary of the missing_values field so I can see where data quality is worst?"},{"title":"Daily Missing Values Trend Analysis","prompt":"Here are my null coverage records for October 2026, about 80 rows with dates, row IDs, and missing_values counts. Run a numeric distribution and grouped numeric summary on the missing_values field so I can spot which groups have the most gaps."},{"title":"Total Values Spread Across Dataset Groups","prompt":"I need to understand the distribution of total_values across my datasets — I have 40 rows tagged with dataset groups and dates. Can you produce a numeric distribution and a grouped summary report on the total_values field?"}],"resultDescription":"Returns two analytical reports: (1) a numeric distribution of the selected field (missing_values or total_values) across up to 200 rows, and (2) a grouped numeric summary broken down by dataset_group — all computed locally with no external lookups or predictions.","failureModes":["More than 200 rows submitted — only up to 200 rows are supported","Missing required fields (row_id, dataset_group, date, missing_values, total_values) will cause validation errors","Invalid date format (must match YYYY-MM-DD) will be rejected","Values outside the allowed numeric range (±1,000,000,000,000) will be rejected","Empty rows array will fail minimum item constraint"],"whenToPreferThis":"Use this endpoint when you have pre-collected null coverage records (rows of missing_values and total_values) and need fast, offline-style statistical summaries — a numeric distribution and a grouped breakdown by dataset_group — without any live data fetching, ML predictions, or external API calls. It is especially suited for lightweight data quality audit workflows where you want two simultaneous analytical views for a low flat cost.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-16T06:55:13.650Z","isFirstParty":false,"canonicalSlug":"null-coverage-analytics-numeric-distribution-grouped-numeric-summary-21f58595"}