{"uid":"cap_wuaW-QBD0uA8v4D8MOIf-","slug":"null-coverage-record-quality-audit-category-frequencies-17d61dd2","name":"Null Coverage Record Quality Audit + Category Frequencies","description":"Null coverage — Record quality audit + Category frequencies: Record quality audit + Category frequencies 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-03-006?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}}},"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_KtZrsT9hAt_ijBhhjIcSC","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 supplied null coverage records (missing_values, total_values) to produce two local analytical reports: a record quality audit and category frequency breakdown by dataset group.","exampleAgentPrompt":"Can you audit the quality of my dataset records and break down category frequencies? I have up to 50 rows with fields like row_id, dataset_group (e.g. 'group-a', 'group-b'), date, missing_values, and total_values — run both the record quality audit and category frequency reports on them.","exampleUseCases":[{"title":"Data pipeline null coverage audit","prompt":"I have a batch of 120 records from my ETL pipeline with row IDs, dataset groups like 'sales' and 'inventory', dates, and counts of missing vs total values — can you run a record quality audit and category frequency report so I can see where the nulls are concentrated?"},{"title":"Multi-group completeness comparison","prompt":"I'm comparing data completeness across three dataset groups — 'group-a', 'group-b', and 'group-c' — for about 80 rows from October 2026. Can you give me both a quality audit and a category frequency breakdown based on the missing_values and total_values I'll send?"},{"title":"Weekly data quality review report","prompt":"Every week I want to review the quality of our ingested records. Here are 40 rows with their dataset groups, dates, and missing vs total value counts — please produce the record quality audit and category frequencies summary for this week's data."}],"resultDescription":"Two analytical reports computed locally from the supplied rows: (1) a record quality audit summarizing null coverage per record (e.g. completeness rates, missing value ratios), and (2) category frequencies showing how records and missing values are distributed across dataset_group values. No external lookups or predictions are made; all analysis is performed on the submitted data.","failureModes":["Rows array is empty or exceeds 200 items — rejected with validation error","missing_values or total_values outside the allowed numeric range — rejected","date fields not matching YYYY-MM-DD pattern — rejected","row_id missing or exceeding 80 characters — rejected","Malformed JSON input — rejected with parse error"],"whenToPreferThis":"Choose this endpoint when you need a fast, low-cost (0.01 USDC) dual-report analysis of null coverage data for up to 200 rows, specifically combining a record-level quality audit with group-level category frequency counts. It is ideal for offline or self-contained data quality checks where no live data lookup, external enrichment, or prediction is needed — all computation is local. Prefer alternatives if you need real-time data fetching, ML-based anomaly detection, or more than 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:58:17.444Z","isFirstParty":false,"canonicalSlug":"null-coverage-record-quality-audit-category-frequencies-17d61dd2"}