{"uid":"cap_6sep-TvcvNqOHeo2ZyrhS","slug":"null-coverage-analytics-record-quality-audit-grouped-numeric-summary-dcacb8d2","name":"Null Coverage Analytics — Record Quality Audit + Grouped Numeric Summary","description":"Null coverage — Record quality audit + Grouped numeric summary: Record quality audit + Grouped numeric summary 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-03-005?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_s4zcEU_i2479iLLiWGrGe","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 up to 200 supplied rows of null-coverage data to produce two local analytical reports: a record quality audit and a grouped numeric summary, segmented by dataset group.","exampleAgentPrompt":"I have 50 rows of dataset quality records — each with a row ID, a group label like 'group-a' or 'group-b', a date, and counts of missing_values and total_values — can you run a null coverage audit and grouped numeric summary on the missing_values field for me?","exampleUseCases":[{"title":"ETL pipeline data completeness check","prompt":"We just finished an ETL run and I want to audit our records for null coverage — I have about 80 rows, each tagged with a dataset group and a date, along with their missing_values and total_values counts. Can you give me a record quality audit and a grouped numeric summary on the missing_values field?"},{"title":"Multi-group dataset quality comparison","prompt":"I've got data from three groups — 'sales', 'marketing', and 'ops' — with daily records showing how many values are missing versus total. Can you run a null coverage analysis on the total_values field across all 120 rows and show me both the record quality audit and the group-level numeric summary?"},{"title":"Monthly data health monitoring report","prompt":"At the end of each month I want to review data health across our datasets. Here are 150 rows with row IDs, group labels, dates in YYYY-MM-DD format, and missing_values alongside total_values — please produce the record quality audit and the grouped numeric summary on missing_values so I can see where our data is incomplete."}],"resultDescription":"Returns two analytical reports computed locally from the supplied rows: (1) a record quality audit evaluating each row's null coverage based on missing_values and total_values, and (2) a grouped numeric summary aggregating statistics by dataset_group. No external lookups or predictions are made.","failureModes":["Fewer than 1 row or more than 200 rows submitted — request rejected","Missing required fields (row_id, dataset_group, date, missing_values, total_values) on any row — validation error","Date field not matching YYYY-MM-DD pattern — schema validation failure","Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000) — rejected","Invalid field enum value (must be 'missing_values' or 'total_values') — schema error","Payment of 0.01 USDC not completed via x402 protocol — request blocked"],"whenToPreferThis":"Choose this endpoint when you need a fast, offline, two-in-one analysis of null coverage data — specifically a record-level quality audit paired with a grouped numeric summary — on up to 200 rows identified by group and date. It is ideal when you do not need live lookups, predictions, or external enrichment, and want a deterministic local computation at minimal cost.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:58:11.409Z","isFirstParty":false,"canonicalSlug":"null-coverage-analytics-record-quality-audit-grouped-numeric-summary-dcacb8d2"}