{"uid":"cap_5sw5IS4aGBK_6wzbgR6z3","slug":"null-coverage-analytics-grouped-numeric-summary-daily-sum-series-308f0568","name":"Null Coverage Analytics — Grouped Numeric Summary & Daily Sum Series","description":"Null coverage — Grouped numeric summary + Daily sum series: Grouped numeric summary + 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-03-089?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_9HIZFL112UGa_yKySIbi7","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 local analytical reports — a grouped numeric summary and a daily sum series — for null coverage (missing_values, total_values) row data, up to 200 rows.","exampleAgentPrompt":"I have up to 200 rows of null coverage data with fields like dataset_group, date, missing_values, and total_values — can you run a grouped numeric summary and a daily sum series on the missing_values field for me?","exampleUseCases":[{"title":"Data quality audit by group","prompt":"I've got a table of null coverage records across three dataset groups — 'sales', 'inventory', and 'returns' — spanning October 2026. Can you give me a grouped numeric summary and daily sum series on the missing_values field so I can see which group has the worst data completeness?"},{"title":"Daily missing-value trend report","prompt":"Here are 150 rows of data quality records with dates, dataset groups, and missing vs total value counts. Run the grouped summary and the daily sum series on total_values so I can spot which days had the highest missing data volume."},{"title":"Null coverage check before pipeline run","prompt":"Before I kick off my ETL pipeline, I want to check null coverage across my staging tables. I have 80 rows with row_id, dataset_group, date, missing_values, and total_values — can you produce the grouped numeric summary and daily sum series on missing_values for me?"}],"resultDescription":"Two independent analytical reports computed locally: (1) a grouped numeric summary that aggregates the selected field (missing_values or total_values) broken down by dataset_group, and (2) a daily sum series that totals the selected field by date. Both reports cover the supplied rows (up to 200).","failureModes":["More than 200 rows supplied — request rejected or truncated","Missing required fields (row_id, dataset_group, date, missing_values, total_values) cause validation errors","Invalid date format (not YYYY-MM-DD) causes schema validation failure","Numeric values outside allowed range (±1,000,000,000,000) cause rejection","Invalid field enum value (not 'missing_values' or 'total_values') causes error","Empty rows array returns error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of null coverage records and need both a grouped categorical summary and a daily time-series aggregation in a single low-cost call ($0.01 USDC). Ideal for data quality monitoring, ETL pre-checks, and completeness audits where no external lookup or live data is needed — all computation is done locally on your supplied data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-16T06:55:12.676Z","isFirstParty":false,"canonicalSlug":"null-coverage-analytics-grouped-numeric-summary-daily-sum-series-308f0568"}