{"uid":"cap_V1MbA3IRAv96Etc737nHx","slug":"null-coverage-audit-record-quality-string-normalisation-grouped-a705c27d","name":"Null Coverage Audit: Record Quality + String Normalisation + Grouped Numeric Summary","description":"Null coverage — Record quality audit + String normalisation + Grouped numeric summary: Record quality audit + String normalisation + Grouped numeric summary for supplied null coverage records (missing_values, total_values). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-analytics-03-194?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_z0Bzljkj_jmKu9dcqfRej","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":"Audits data quality by computing null/missing value coverage, normalises strings, and produces grouped numeric summaries for up to 200 rows across three independent reports.","exampleAgentPrompt":"Can you run a null coverage audit on my dataset rows — I have up to 50 records each with a row_id, dataset_group, date, missing_values, and total_values — and give me the record quality audit, string normalisation, and grouped numeric summary reports for the missing_values field?","exampleUseCases":[{"title":"Dataset completeness check before ETL pipeline","prompt":"I need to audit data quality before loading into our warehouse — here are 120 rows each with row_id, dataset_group, date, missing_values, and total_values. Run the null coverage audit on the missing_values field and give me all three reports: record quality, string normalisation, and grouped numeric summary."},{"title":"Group-level null rate comparison across teams","prompt":"We have data from three different teams labelled in the dataset_group field — can you analyse these 80 rows for null coverage on total_values, and give me a grouped numeric summary so I can compare each team's data completeness?"},{"title":"Monthly data quality review for reporting","prompt":"I want to do our monthly data quality review — here are 200 rows dated across October with missing_values and total_values filled in. Run all three analytical reports on the missing_values field so I can see where our null coverage problems are by group."}],"resultDescription":"Returns three independent analytical reports: (1) a record quality audit flagging null coverage issues per row, (2) a string normalisation report for text fields like row_id and dataset_group, and (3) a grouped numeric summary aggregating missing_values and total_values statistics by dataset_group — all computed locally with no external lookups.","failureModes":["Input array exceeds 200 rows — request will be rejected","Missing required fields (row_id, dataset_group, date, missing_values, total_values) cause validation errors","Invalid date format (not YYYY-MM-DD) triggers pattern validation failure","Numeric values outside the allowed range cause schema rejection","Empty rows array returns an error","Payment of 0.01 USDC not completed results in 402 response"],"whenToPreferThis":"Choose this endpoint when you need a combined, cost-efficient data quality analysis covering null coverage auditing, string normalisation, and grouped numeric summarisation in a single call for up to 200 rows of tabular data with missing/total value fields. It is ideal for lightweight pre-ETL data validation, periodic data quality reviews, or comparing null rates across dataset groups — especially when no live lookups, predictions, or external actions are required and all analysis can be performed locally on supplied data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:58:12.792Z","isFirstParty":false,"canonicalSlug":"null-coverage-audit-record-quality-string-normalisation-grouped-a705c27d"}