{"uid":"cap_ezyvXZjZKryVj-9ngEe_W","slug":"null-coverage-record-quality-audit-keyed-dataset-comparison-0046f418","name":"Null Coverage Record Quality Audit & Keyed Dataset Comparison","description":"Null coverage — Record quality audit + Keyed dataset comparison: Record quality audit + Keyed dataset comparison 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-03-018?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}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"total_values":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80},"missing_values":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","total_values":1,"dataset_group":"group-a","missing_values":10},{"date":"2026-10-02","row_id":"row-2","total_values":2,"dataset_group":"group-b","missing_values":20},{"date":"2026-10-03","row_id":"row-3","total_values":3,"dataset_group":"group-a","missing_values":15},{"date":"2026-10-04","row_id":"row-4","total_values":4,"dataset_group":"group-b","missing_values":30}],"maxItems":200,"minItems":1},"other":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","missing_values","total_values"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","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":21},{"date":"2026-10-03","row_id":"row-3","total_values":3,"dataset_group":"group-a","missing_values":17},{"date":"2026-10-04","row_id":"row-4","total_values":4,"dataset_group":"group-b","missing_values":33}],"maxItems":200,"minItems":0}}},"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_Tea9OEdcTBjMrbCzPhrnD","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/missing value coverage in up to 200 rows of supplied data and compares two datasets by key, producing two independent quality reports locally.","exampleAgentPrompt":"Can you run a null coverage audit and dataset comparison on these two sets of records? The first dataset has rows for group-a and group-b from 2026-10-01 to 2026-10-04 with their missing_values and total_values, and the second dataset has the same row IDs but slightly different missing_values — I want two reports showing quality and differences.","exampleUseCases":[{"title":"ETL pipeline data completeness check","prompt":"I just ran an ETL job and I want to audit the null coverage in the output — can you take these up to 200 rows with row_id, dataset_group, date, missing_values, and total_values and give me a record quality report showing where the gaps are?"},{"title":"Before-and-after dataset quality comparison","prompt":"I have two snapshots of the same dataset taken before and after a data cleaning step — both have the same row IDs with missing_values and total_values fields. Can you compare them and tell me how the null coverage changed between the two?"},{"title":"Multi-group null rate audit","prompt":"I need to audit null coverage across my dataset groups — I have rows for group-a and group-b across several dates, each with missing_values and total_values counts. Can you generate a quality report showing which groups have the worst null rates?"}],"resultDescription":"Returns two independent analytical reports: (1) a record quality audit summarizing null/missing value coverage statistics across the supplied rows, and (2) a keyed dataset comparison report highlighting differences between the primary and secondary datasets by row_id. Both reports are computed locally from supplied data with no external lookups.","failureModes":["More than 200 rows submitted — endpoint rejects input exceeding maxItems limit","Missing required fields (row_id, dataset_group, date, missing_values, total_values) cause schema validation failure","Invalid date format (not YYYY-MM-DD) triggers pattern validation error","null or out-of-range numeric values for missing_values or total_values may cause computation errors","Empty rows array (minItems:1 not met) returns an error","Mismatched row_ids between primary and secondary datasets may produce incomplete comparison output"],"whenToPreferThis":"Choose this endpoint when you need a fast, low-cost ($0.01 USDC) dual-report analysis of null/missing value coverage on supplied tabular data — especially when comparing two versions or snapshots of the same dataset by key. Ideal for data pipeline QA, pre-ingestion validation, and ETL auditing where no external data lookup or prediction is needed. Not suitable for large datasets exceeding 200 rows per call, real-time data fetching, or predictive analytics.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:57:52.564Z","isFirstParty":false,"canonicalSlug":"null-coverage-record-quality-audit-keyed-dataset-comparison-0046f418"}