{"uid":"cap_dZCWVdhfAuEaxVfJTnC_d","slug":"null-coverage-record-quality-audit-numeric-interval-filter-d3c5de16","name":"Null Coverage Record Quality Audit + Numeric Interval Filter","description":"Null coverage — Record quality audit + Numeric interval filter: Record quality audit + Numeric interval filter 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-03-008?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"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_oU7ztElfyD_C2SWWlCOVi","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 null coverage (missing vs total values) in up to 200 rows and filters records by a numeric interval, returning two independent analytical reports.","exampleAgentPrompt":"Can you audit the null coverage and filter by missing_values between 5 and 50 for these 4 records: row-1 (group-a, 2026-10-01, missing=10, total=100), row-2 (group-b, 2026-10-02, missing=3, total=80), row-3 (group-a, 2026-10-03, missing=45, total=200), row-4 (group-b, 2026-10-04, missing=60, total=150)?","exampleUseCases":[{"title":"Data completeness check across groups","prompt":"I have 6 dataset rows from two groups — can you run a quality audit on the null coverage for these records and also filter where missing_values falls between 0 and 25? Rows: row-1 (group-a, 2025-01-01, missing=5, total=100), row-2 (group-b, 2025-01-02, missing=30, total=200), row-3 (group-a, 2025-01-03, missing=10, total=150), row-4 (group-b, 2025-01-04, missing=0, total=90), row-5 (group-a, 2025-01-05, missing=22, total=110), row-6 (group-b, 2025-01-06, missing=40, total=180)."},{"title":"Filtering records by total values range","prompt":"For these records, can you check record quality and filter by total_values between 100 and 500? Here are the rows: row-A (groupX, 2025-03-01, missing=5, total=80), row-B (groupY, 2025-03-02, missing=12, total=300), row-C (groupX, 2025-03-03, missing=0, total=450), row-D (groupY, 2025-03-04, missing=7, total=600)."},{"title":"Monthly ETL null coverage audit","prompt":"We ran our monthly ETL last night and ended up with these 5 rows — please audit the null coverage quality and filter on missing_values between 10 and 100: row-1 (etl-batch-1, 2025-06-01, missing=15, total=500), row-2 (etl-batch-1, 2025-06-02, missing=0, total=490), row-3 (etl-batch-2, 2025-06-03, missing=110, total=510), row-4 (etl-batch-2, 2025-06-04, missing=50, total=505), row-5 (etl-batch-1, 2025-06-05, missing=25, total=498)."}],"resultDescription":"Returns two independent analytical reports: (1) a record quality audit summarizing null coverage statistics (missing_values vs total_values ratios, counts, and flags per row and group), and (2) a filtered list of records where the chosen field (missing_values or total_values) falls within the specified numeric interval [minimum, maximum]. All processing is local with no external lookups.","failureModes":["Missing required fields (row_id, date, missing_values, total_values) cause validation errors","Exceeding 200 rows returns a row limit error","Invalid date format (not YYYY-MM-DD) causes a schema validation failure","Providing minimum greater than maximum may return empty filter results or an error","Null or non-numeric values in missing_values/total_values may produce unexpected audit results"],"whenToPreferThis":"Choose this endpoint when you need a combined null coverage quality audit and numeric interval filter on a small-to-medium dataset (up to 200 rows) in a single call for a flat $0.01 USDC fee. It is ideal for data engineering pipelines, ETL validation steps, or ad-hoc data quality checks where you want two analytical outputs (audit + filter) without calling separate services or running external queries.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:57:59.723Z","isFirstParty":false,"canonicalSlug":"null-coverage-record-quality-audit-numeric-interval-filter-d3c5de16"}