{"uid":"cap_3yaRzsvVRpFQVzjT9-RrY","slug":"join-coverage-analytics-record-quality-audit-string-normalisation-2ef6ed22","name":"Join Coverage Analytics: Record Quality Audit + String Normalisation + Numeric Interval Filter","description":"Join coverage — Record quality audit + String normalisation + Numeric interval filter: Record quality audit + String normalisation + Numeric interval filter 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-09-197?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"},"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_8r3P96LWDWrkmB1O_uLjW","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, string normalisation, and numeric interval filter — up to 200 rows per call.","exampleAgentPrompt":"Can you audit the quality, normalise the string fields, and filter by matched_rows between 0 and 100 for these 4 join coverage rows: row-1 (group-a, 2026-10-01, source_rows=1, matched_rows=10), row-2 (group-b, 2026-10-02, source_rows=2, matched_rows=20), row-3 (group-a, 2026-10-03, source_rows=3, matched_rows=15), row-4 (group-b, 2026-10-04, source_rows=4, matched_rows=30)?","exampleUseCases":[{"title":"Join coverage quality check for ETL pipeline","prompt":"I have 50 join coverage records from my ETL pipeline with matched_rows and source_rows values — can you run a record quality audit, normalise the dataset_group strings, and filter to only rows where source_rows is between 0 and 500?"},{"title":"Detecting mismatched row counts across dataset groups","prompt":"Here are 120 join coverage rows across several dataset groups — please audit their quality, normalise the group name strings, and filter matched_rows to the interval 10 to 1000 so I can see which records fall outside that range."},{"title":"Pre-merge data validation for analytics team","prompt":"Before we merge these datasets, can you run a quality audit and string normalisation on these 80 join coverage records, then filter source_rows to values between 5 and 250 to flag anything out of bounds?"}],"resultDescription":"Three independent analytical reports: (1) a record quality audit flagging data completeness and integrity issues, (2) a string normalisation report cleaning dataset_group and other string fields, and (3) a numeric interval filter report showing which rows fall within the specified minimum–maximum range for the chosen field (matched_rows or source_rows). All computed locally with no external lookups.","failureModes":["More than 200 rows submitted — request rejected with validation error","Missing required fields (row_id, dataset_group, date, matched_rows, source_rows) — row rejected or report incomplete","Invalid date format (not YYYY-MM-DD) — validation error","minimum greater than maximum — filter report may return empty or error","Null numeric values for matched_rows or source_rows — handled but may affect interval filter results","Payment not included or insufficient — x402 payment required error"],"whenToPreferThis":"Choose this endpoint when you need three simultaneous local analytical reports (quality audit, string normalisation, numeric interval filter) on join coverage data with matched_rows and source_rows fields, without requiring any external data lookup or live prediction. Ideal for data engineers validating ETL pipeline outputs or pre-merge dataset checks at very low cost ($0.01 for up to 200 rows and 3 reports).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T18:54:28.492Z","isFirstParty":false,"canonicalSlug":"join-coverage-analytics-record-quality-audit-string-normalisation-2ef6ed22"}