{"uid":"cap_Hhbo0L4QOHjqiJKhyIigW","slug":"null-coverage-analytics-category-frequencies-two-measure-correlation-c542a95a","name":"Null Coverage Analytics: Category Frequencies + Two-Measure Correlation","description":"Null coverage — Category frequencies + Two-measure correlation: Category frequencies + Two-measure correlation 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-03-108?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}}},"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_1JtPtfXoHiJ-kWhb4Ftwj","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 null/missing-value coverage records by computing category frequencies across dataset groups and Pearson correlation between missing_values and total_values, returning two independent analytical reports for up to 200 rows.","exampleAgentPrompt":"I have null coverage records for my pipeline runs — can you compute the category frequencies by dataset group and the correlation between missing_values and total_values for these rows: [{row_id: 'r1', dataset_group: 'sales', date: '2024-01-01', missing_values: 50, total_values: 500}, {row_id: 'r2', dataset_group: 'marketing', date: '2024-01-02', missing_values: 20, total_values: 300}]?","exampleUseCases":[{"title":"Data pipeline completeness audit","prompt":"I have 150 null coverage records from my ETL pipeline across groups like 'transactions', 'user_events', and 'logs' — can you give me the category frequency breakdown by dataset_group and also the correlation between missing_values and total_values so I can see which groups are least complete?"},{"title":"Monthly data quality report","prompt":"Here are my monthly null coverage records for October 2024 with missing_values and total_values per row — run the category frequency and two-measure correlation analysis on all of them so I can include the stats in my data quality report."},{"title":"Comparing null rates across two dataset groups","prompt":"I've got records from two dataset groups, 'group-a' and 'group-b', each with their missing and total value counts across different dates — can you tell me the frequency each group appears and whether missing_values and total_values are correlated across these records?"}],"resultDescription":"Returns two independent analytical reports: (1) a category frequency table showing how often each dataset_group value appears across the submitted rows, and (2) a two-measure correlation analysis between the missing_values and total_values numeric fields across all submitted records. Both reports are computed locally from supplied data with no external lookups.","failureModes":["Fewer than 1 row submitted — fails minItems validation","More than 200 rows submitted — fails maxItems validation","Missing required fields (row_id, dataset_group, date, missing_values, total_values) — validation error","Date not matching YYYY-MM-DD format — pattern validation failure","Numeric values outside allowed range (±1,000,000,000,000) — validation error","All missing_values or total_values are null — correlation computation may be undefined or return NaN"],"whenToPreferThis":"Choose this endpoint when you have tabular null-coverage or data-completeness records with a categorical grouping column and two numeric measures, and you need both a group frequency summary and a correlation statistic in a single low-cost call. It is ideal for data quality monitoring pipelines that track missing values across named dataset groups over time. Prefer it over generic statistics APIs when your data fits the specific schema (row_id, dataset_group, date, missing_values, total_values) and you want both reports bundled for $0.01.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-16T06:54:51.687Z","isFirstParty":false,"canonicalSlug":"null-coverage-analytics-category-frequencies-two-measure-correlation-c542a95a"}