{"uid":"cap_8k6rNH_NzoZCUtsndLNuU","slug":"join-coverage-analytics-record-quality-audit-exact-row-deduplication-2125a29d","name":"Join Coverage Analytics: Record Quality Audit + Exact Row Deduplication + IQR Outlier Flags","description":"Join coverage — Record quality audit + Exact row deduplication + IQR outlier flags: Record quality audit + Exact row deduplication + IQR outlier flags for supplied join coverage records (matched_rows, source_rows). 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-09-220?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},"field":{"enum":["matched_rows","source_rows"],"type":"string","default":"matched_rows"}}},"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_nk7HecrrJp_OLFaCbLCGN","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 three local analytical reports on join coverage data (matched_rows, source_rows): a record quality audit, exact row deduplication, and IQR-based outlier flagging — all in one call for up to 200 rows.","exampleAgentPrompt":"Can you run a record quality audit, deduplicate exact rows, and flag IQR outliers on my join coverage data? I have rows with matched_rows and source_rows values across groups like 'group-a' and 'group-b' from October 2026 — analyze the matched_rows field.","exampleUseCases":[{"title":"Pre-pipeline join coverage quality gate","prompt":"Before I merge these datasets, can you audit my join coverage records for quality issues, remove any exact duplicate rows, and flag statistical outliers in the matched_rows column? I have about 150 rows across two dataset groups dated from 2026-01-01 to 2026-03-31."},{"title":"ETL anomaly detection on source row counts","prompt":"I want to check my ETL output for problems — run the quality audit, deduplication, and IQR outlier detection on my join coverage data focusing on the source_rows field. There are 80 rows across groups 'prod' and 'staging' from 2025-06-01 to 2025-06-30."},{"title":"Data validation report for join coverage audit","prompt":"Can you give me a full data health report on these join coverage records — I need to know which rows are duplicates, which have quality issues, and which matched_rows values are outliers based on IQR? About 50 rows for dataset group 'warehouse' from 2024-Q4."}],"resultDescription":"Returns three independent analytical reports: (1) a record quality audit identifying missing values, format errors, and data integrity issues; (2) an exact row deduplication report listing duplicate records; and (3) IQR-based outlier flags highlighting statistically anomalous values in the selected field (matched_rows or source_rows). All analysis is performed locally on the supplied data — no external lookups or predictions.","failureModes":["Exceeds 200 row limit — request rejected or truncated","Missing required fields (row_id, dataset_group, date, matched_rows, source_rows) — validation error","Invalid date format (must be YYYY-MM-DD) — schema validation failure","Field selector not in enum ['matched_rows','source_rows'] — rejected","Numeric values outside allowed range (-1T to +1T) — schema error","Empty rows array — minimum 1 item required"],"whenToPreferThis":"Choose this endpoint when you need a bundled three-in-one analytical pass on join coverage records — quality audit, deduplication, and IQR outlier detection — in a single cost-efficient call ($0.01 USDC for all three reports). Prefer this over separate endpoints when your data has up to 200 rows and you want a comprehensive data health snapshot without external lookups or live data enrichment. If you only need one or two of the three reports, check sibling endpoints that offer narrower combinations.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T18:54:29.962Z","isFirstParty":false,"canonicalSlug":"join-coverage-analytics-record-quality-audit-exact-row-deduplication-2125a29d"}