{"uid":"cap_YB_t5MNRsPK5zwn4sEJfd","slug":"null-coverage-analyzer-numeric-row-ordering-date-by-category-pivot-3e753471","name":"Null Coverage Analyzer — Numeric Row Ordering & Date-by-Category Pivot","description":"Null coverage — Numeric row ordering + Date by category pivot: Numeric row ordering + 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-03-122?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_cdYbLMriNArH33fcsAyMx","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":"Generates two analytical reports on null/missing-value coverage data: a numeric row ordering report and a date-by-category pivot table, for up to 200 supplied rows.","exampleAgentPrompt":"Can you run a null coverage analysis on my dataset records — I have rows with row_id, dataset_group, date, missing_values, and total_values fields — and give me both a numeric row ordering report and a date-by-category pivot on the missing_values field? Here are up to 200 rows of data.","exampleUseCases":[{"title":"Data quality audit by team pipeline","prompt":"I have a batch of up to 150 records from our ETL pipeline, each with a row ID, dataset group name, date, and counts of missing vs total values. Can you rank them by missing_values and also pivot missing_values by date and dataset group so I can see which groups have the worst coverage over time?"},{"title":"Monthly completeness review across sources","prompt":"We track data completeness across several source groups each day. Can you take these 80 records — each with a row_id, dataset_group, date, missing_values, and total_values — and produce a numeric ordering by total_values plus a date-by-category pivot on missing_values so we can spot gaps in our monthly review?"},{"title":"Debugging sparse data ingestion","prompt":"Our ingestion logs show a lot of nulls this week. Here are 60 records with row IDs, group names, dates, and missing vs total value counts — can you sort them numerically by missing_values and pivot by date and category so I can pinpoint which dataset groups and dates are causing the sparsity?"}],"resultDescription":"Returns two structured analytical reports derived from the supplied rows: (1) a numeric row ordering report ranking rows by the selected field (missing_values or total_values), and (2) a date-by-category pivot table grouping the selected field by date and dataset_group. No external data is fetched; all analysis is performed on the submitted records.","failureModes":["Empty or missing rows array returns a validation error","Rows exceeding 200 items are rejected (maxItems constraint)","Invalid date format (not YYYY-MM-DD) causes schema validation failure","Null values in missing_values or total_values may affect numeric ordering output","Invalid field enum value (not 'missing_values' or 'total_values') returns an error","Missing required fields (row_id, dataset_group, date) cause per-row validation failure"],"whenToPreferThis":"Choose this endpoint when you have tabular null-coverage data (missing_values + total_values per row, group, and date) and need both a ranked row-ordering view and a pivot breakdown by date and category in a single low-cost call. It is purpose-built for data quality and completeness analysis workflows, not for general-purpose pivot or sorting tasks involving other data shapes.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-16T06:55:12.059Z","isFirstParty":false,"canonicalSlug":"null-coverage-analyzer-numeric-row-ordering-date-by-category-pivot-3e753471"}