{"uid":"cap_98qj2aYE0SvaTq7s5CHEd","slug":"null-coverage-analytics-category-frequencies-date-by-category-pivot-085bd42a","name":"Null Coverage Analytics — Category Frequencies & Date-by-Category Pivot","description":"Null coverage — Category frequencies + Date by category pivot: Category frequencies + Date by category pivot 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-03-110?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__FqBMMhqasEobQyy6HlLF","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 to produce two reports: category-level frequency counts and a date-by-category pivot table, for up to 200 rows.","exampleAgentPrompt":"I have up to 200 rows of null coverage records — each with a row_id, dataset_group, date, missing_values, and total_values — can you give me both a category frequency breakdown and a date-by-category pivot for the missing_values field?","exampleUseCases":[{"title":"Data Quality Audit by Group","prompt":"I've collected null coverage stats across four dataset groups over the past month — each row has a group name, date, and counts for missing and total values. Can you run a category frequency report and a date-by-category pivot on the missing_values field so I can see which groups are worst?"},{"title":"Time-Series Missingness Pivot","prompt":"Here are 150 rows of daily null coverage records across groups A, B, and C with dates from 2026-01-01 to 2026-05-31. Please give me a date-by-category pivot table for total_values so I can track completeness trends over time."},{"title":"Dataset Group Completeness Comparison","prompt":"I need to compare how often each dataset_group appears and how their missing_values counts break down by date — I have about 80 rows with row_id, dataset_group, date, missing_values, and total_values. Can you produce both the frequency and pivot reports for the missing_values field?"}],"resultDescription":"Two analytical reports computed locally from the supplied rows: (1) a category frequency table showing how often each dataset_group appears and its aggregated field values, and (2) a date-by-category pivot table cross-tabulating the selected field (missing_values or total_values) across dates and dataset groups. No external data fetched; all analysis is self-contained from the provided input rows.","failureModes":["Empty or missing rows array returns an error","rows array exceeding 200 items is rejected","Missing required fields (row_id, dataset_group, date, missing_values, total_values) on any row causes validation failure","Invalid date format (not YYYY-MM-DD) rejected by pattern validation","field value outside allowed enum ('missing_values' or 'total_values') causes rejection","Null numeric values for missing_values or total_values may affect aggregation results"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of null-coverage records (with dataset_group, date, missing_values, total_values) and need both a group-level frequency summary and a date-by-category pivot in a single paid call at $0.01 USDC. Prefer it over general-purpose data tools when you want two bundled analytical reports computed without any external lookups or live data access.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:58:13.626Z","isFirstParty":false,"canonicalSlug":"null-coverage-analytics-category-frequencies-date-by-category-pivot-085bd42a"}