{"uid":"cap_DZhxqR3qQ8Z6D2I3Vha5F","slug":"join-coverage-record-quality-audit-and-duplicate-key-report-dbc58109","name":"Join Coverage Record Quality Audit and Duplicate Key Report","description":"Join coverage — Record quality audit + Duplicate key report: Record quality audit + Duplicate key report for supplied join coverage records (matched_rows, source_rows). 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-09-003?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","matched_rows","source_rows"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"source_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"matched_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","source_rows":1,"matched_rows":10,"dataset_group":"group-a"},{"date":"2026-10-02","row_id":"row-2","source_rows":2,"matched_rows":20,"dataset_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","source_rows":3,"matched_rows":15,"dataset_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","source_rows":4,"matched_rows":30,"dataset_group":"group-b"}],"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_5DoOTDMQEdZNtAXzi225y","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 duplicate key report — on supplied join coverage data (matched_rows, source_rows) for up to 200 rows.","exampleAgentPrompt":"Can you run a record quality audit and duplicate key report on my join coverage data? I have 4 rows: row-1 on 2026-10-01 with 10 matched_rows and 1 source_rows in group-a, row-2 on 2026-10-02 with 20 matched and 2 source in group-b, row-3 on 2026-10-03 with 15 matched and 3 source in group-a, and row-4 on 2026-10-04 with 30 matched and 4 source in group-b.","exampleUseCases":[{"title":"ETL pipeline join quality check","prompt":"I just ran an ETL join and need to check data quality — can you audit these 5 join coverage records for quality issues and flag any duplicate keys? Here are the rows: row-1 on 2025-01-01 with 100 matched and 90 source rows in group-alpha, row-2 on 2025-01-02 with 200 matched and 180 source in group-beta, row-3 on 2025-01-03 with 50 matched and 60 source in group-alpha, row-4 on 2025-01-04 with 300 matched and 250 source in group-beta, row-5 on 2025-01-05 with 75 matched and 80 source in group-alpha."},{"title":"Duplicate key detection across dataset groups","prompt":"Can you run a duplicate key report on my join coverage records grouped by dataset_group? I have these rows: row-A on 2024-06-01 with 500 matched_rows and 480 source_rows in group-sales, row-A on 2024-06-02 with 510 matched and 490 source in group-sales, row-B on 2024-06-01 with 200 matched and 195 source in group-finance — I suspect row-A might be a duplicate key issue."},{"title":"Monthly join coverage quality review","prompt":"Please audit the record quality of my monthly join coverage data and give me a duplicate key report — here are 3 rows: jan-2025 on 2025-01-31 with 1000 matched and 950 source rows in group-monthly, feb-2025 on 2025-02-28 with 980 matched and 940 source in group-monthly, mar-2025 on 2025-03-31 with null matched_rows and 870 source in group-monthly."}],"resultDescription":"Returns two independent analytical reports: (1) a record quality audit that identifies issues such as null values, out-of-range numbers, or malformed dates across the supplied join coverage rows, and (2) a duplicate key report flagging repeated row_id or dataset_group/date combinations. Both reports are generated locally from the supplied data without any external lookups.","failureModes":["Rows array exceeds 200 items — request rejected","Missing required fields (row_id, dataset_group, date, matched_rows, source_rows) — validation error","Date field does not match YYYY-MM-DD pattern — schema validation failure","matched_rows or source_rows exceeds numeric bounds (±1,000,000,000,000) — schema rejection","Empty rows array (minItems: 1 not met) — request rejected","row_id exceeds 80 character maxLength — validation error"],"whenToPreferThis":"Choose this endpoint when you need fast, offline analytical reports on join coverage data — specifically a record quality audit and duplicate key detection — without requiring any external data lookup, live API calls, or professional assessment. Ideal for data engineers validating ETL outputs, analysts reviewing join completeness, or automated pipelines that need a cheap ($0.01 USDC), stateless quality check on up to 200 rows of matched_rows/source_rows data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:36.103Z","isFirstParty":false,"canonicalSlug":"join-coverage-record-quality-audit-and-duplicate-key-report-dbc58109"}