{"uid":"cap_yOFUJnW1Ap4ML4uNBtK-p","slug":"null-coverage-record-quality-audit-and-daily-sum-series-59f650ac","name":"Null Coverage Record Quality Audit and Daily Sum Series","description":"Null coverage — Record quality audit + Daily sum series: Record quality audit + Daily sum series 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-03-009?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_EFRNTkuodXRTre2RxjOBf","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":"Runs two local analytical reports on supplied null-coverage records: a record quality audit and a daily sum series for missing_values or total_values, for up to 200 rows.","exampleAgentPrompt":"Can you run a record quality audit and daily sum series on my null coverage data? I have rows with row_id, dataset_group, date, missing_values, and total_values — here are up to 200 rows — and I want the series computed on the missing_values field.","exampleUseCases":[{"title":"Daily missing value trend audit","prompt":"I have a CSV of null coverage records for my data pipeline with columns row_id, dataset_group, date, missing_values, and total_values — can you run a record quality audit and compute the daily sum series on missing_values for all 150 rows?"},{"title":"Data completeness check by group","prompt":"Can you audit the quality of these 80 null coverage records across dataset groups 'group-a' and 'group-b', and also give me a daily sum series on total_values so I can see how completeness trends over time?"},{"title":"Null coverage report for weekly review","prompt":"I need two reports on my null coverage dataset before our weekly data review: a record quality audit and a daily sum of missing_values — here are the 60 rows with dates, row IDs, and group labels."}],"resultDescription":"Returns two independent analytical reports: (1) a record quality audit summarizing issues and statistics across the supplied null-coverage rows, and (2) a daily sum series aggregating the chosen field (missing_values or total_values) by date — all computed locally without any external lookup or live data.","failureModes":["Fewer than 1 row supplied returns validation error","More than 200 rows supplied exceeds the row limit","Invalid date format (not YYYY-MM-DD) causes schema rejection","Missing required fields (row_id, dataset_group, date, missing_values, total_values) causes rejection","Invalid field enum value (not missing_values or total_values) causes error","Null or out-of-range numeric values may affect aggregation accuracy"],"whenToPreferThis":"Choose this endpoint when you have up to 200 null-coverage records with missing_values and total_values fields and need both a record quality audit and a daily sum series in a single call for a flat $0.01 fee. Prefer this over general-purpose analytics tools when you want two bundled local reports with no external data dependencies.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:43:11.927Z","isFirstParty":false,"canonicalSlug":"null-coverage-record-quality-audit-and-daily-sum-series-59f650ac"}