{"uid":"cap_dFnjuXvnh8v2acc9aXp77","slug":"join-coverage-analytics-record-quality-audit-string-normalisation-27fd6f6e","name":"Join Coverage Analytics: Record Quality Audit, String Normalisation & Date Pivot","description":"Join coverage — Record quality audit + String normalisation + Date by category pivot: Record quality audit + String normalisation + Date by category pivot 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-09-206?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_ksVEk1T6U9An3oIqNI4Rf","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): record quality audit, string normalisation, and date-by-category pivot — up to 200 rows per call.","exampleAgentPrompt":"Can you run the three join coverage reports — record quality audit, string normalisation, and date-by-category pivot — on this dataset: row-1 on 2024-01-01, group-a, matched_rows=95, source_rows=100; row-2 on 2024-01-02, group-b, matched_rows=80, source_rows=110? Use matched_rows as the field.","exampleUseCases":[{"title":"ETL pipeline join quality check","prompt":"I've got join results from our ETL pipeline — can you run a record quality audit and date pivot on these rows? row-1, 2024-03-01, group-alpha, matched=450, source=500; row-2, 2024-03-02, group-beta, matched=380, source=400. Analyse matched_rows."},{"title":"Dataset group string normalisation audit","prompt":"Please run the string normalisation and record quality reports on my join coverage data: row-A on 2024-06-15 group-sales matched_rows=1200 source_rows=1300, row-B on 2024-06-16 group-Sales matched_rows=900 source_rows=1000 — I think there might be casing inconsistencies in the group names."},{"title":"Monthly join coverage category pivot","prompt":"Can you pivot our monthly join coverage metrics by date and dataset_group? Here's the data: row-1 2024-07-01 group-north matched=5000 source=5200, row-2 2024-07-02 group-south matched=4800 source=5100, row-3 2024-07-01 group-north matched=4900 source=5050. Field is source_rows."}],"resultDescription":"Returns three independent analytical reports computed locally: (1) a record quality audit highlighting missing, null, or out-of-range values in matched_rows and source_rows; (2) a string normalisation report identifying inconsistencies in text fields like dataset_group; and (3) a date-by-category pivot summarising the selected numeric field across dates and dataset groups. No external lookups or predictions are included.","failureModes":["Fewer than 1 row or more than 200 rows submitted — request rejected","Invalid date format (not YYYY-MM-DD) — validation error","matched_rows or source_rows outside allowed numeric range — error","Missing required fields (row_id, dataset_group, date) — schema validation failure","Invalid field enum value (not matched_rows or source_rows) — rejected"],"whenToPreferThis":"Choose this endpoint when you have up to 200 join coverage records with matched_rows and source_rows and need all three analytical outputs (quality audit, string normalisation, date pivot) in a single cost-efficient call ($0.01 USDC). Prefer it over separate tools when you want bundled local analytics with no external data dependencies or side effects.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T07:19:38.054Z","isFirstParty":false,"canonicalSlug":"join-coverage-analytics-record-quality-audit-string-normalisation-27fd6f6e"}