{"uid":"cap_NQGUa19Zln8zbfAv_-iE0","slug":"null-coverage-record-quality-audit-numeric-distribution-b6a9303d","name":"Null Coverage Record Quality Audit & Numeric Distribution","description":"Null coverage — Record quality audit + Numeric distribution: Record quality audit + Numeric distribution 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-03-004?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_9Dl_BS5X4Tq59sEgR6pGz","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 — a record quality audit and a numeric distribution analysis — on supplied null coverage data (missing_values, total_values) for up to 200 rows.","exampleAgentPrompt":"Can you run a record quality audit and numeric distribution report on my null coverage data? I have 4 rows — row-1 (group-a, 2026-10-01, missing_values=10, total_values=100), row-2 (group-b, 2026-10-02, missing_values=20, total_values=200), row-3 (group-a, 2026-10-03, missing_values=5, total_values=150), row-4 (group-b, 2026-10-04, missing_values=30, total_values=180) — and analyze the missing_values field.","exampleUseCases":[{"title":"Data completeness audit across dataset groups","prompt":"I have 50 rows of null coverage data split across two dataset groups — can you run a record quality audit and numeric distribution on the missing_values field so I can see which groups have the worst data completeness?"},{"title":"Profiling total_values distribution over time","prompt":"Run a quality audit and numeric distribution report on my 120 null-coverage records using the total_values field — I want to understand how the total counts are distributed across dates from 2026-01-01 through 2026-04-30."},{"title":"Spot-checking small batch of records for null issues","prompt":"I've got 8 records tagged with dataset_group 'inventory-feed' and I want to audit them for null coverage quality and see the distribution of their missing_values counts — can you run both reports on them?"}],"resultDescription":"Returns two independent analytical reports computed locally: (1) a record quality audit summarizing null coverage patterns across the supplied rows, and (2) a numeric distribution report for the selected field (missing_values or total_values), both based purely on the submitted data with no external lookups.","failureModes":["Fewer than 1 row or more than 200 rows submitted — request rejected","Row missing required fields (row_id, dataset_group, date, missing_values, total_values) — validation error","Date field does not match YYYY-MM-DD pattern — schema validation failure","Field selector not one of 'missing_values' or 'total_values' — enum validation error","Payment not attached or insufficient — x402 payment required error"],"whenToPreferThis":"Choose this endpoint when you need quick, offline analytical reporting on null coverage records — specifically a combined record quality audit and numeric distribution — without any external data lookup, prediction, or live data feed. Ideal for data profiling workflows where you already have the missing_values and total_values data and want two structured analytical summaries in a single cheap call ($0.01 USDC).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:58:19.376Z","isFirstParty":false,"canonicalSlug":"null-coverage-record-quality-audit-numeric-distribution-b6a9303d"}