{"uid":"cap_bpKwsREmjp0gS7blYlffw","slug":"join-coverage-grouped-numeric-summary-numeric-interval-filter-30045e18","name":"Join Coverage — Grouped Numeric Summary + Numeric Interval Filter","description":"Join coverage — Grouped numeric summary + Numeric interval filter: Grouped numeric summary + Numeric interval filter 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-09-088?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_phS4jqK636ho1SaTwN0QD","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":"Analyzes join coverage records (matched_rows, source_rows) by computing a grouped numeric summary and applying a numeric interval filter, returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"Analyze my join coverage data — here are up to 200 rows with row_id, dataset_group, date, matched_rows, and source_rows — and give me a grouped numeric summary plus filter for matched_rows between 0 and 100, grouped by dataset_group.","exampleUseCases":[{"title":"ETL pipeline join coverage audit","prompt":"I have 150 join coverage records from our ETL pipeline with matched_rows and source_rows per dataset group. Can you give me a grouped numeric summary and filter to only the rows where matched_rows falls between 5 and 500?"},{"title":"Data quality check for low match rates","prompt":"Here are our join coverage rows across group-a and group-b for October. Summarize matched_rows by group and filter out anything where matched_rows is below 10 or above 1000 so I can spot anomalies."},{"title":"Source row volume analysis by partition","prompt":"Run a grouped numeric summary on source_rows for these 200 join coverage records, and filter to rows where source_rows is between 0 and 50, grouped by dataset_group."}],"resultDescription":"Returns two analytical reports: (1) a grouped numeric summary of the chosen field (matched_rows or source_rows) broken down by dataset_group, and (2) a numeric interval filter report showing which rows fall within the specified minimum and maximum bounds — all computed locally against the supplied data with no external lookups.","failureModes":["Missing required fields (row_id, dataset_group, date, matched_rows, source_rows) cause validation errors","Array exceeding 200 items is rejected","Invalid date format (not YYYY-MM-DD) causes schema rejection","minimum greater than maximum may yield an empty interval filter result","Null numeric values in matched_rows or source_rows may be excluded from summary statistics","Payment failure (insufficient USDC) prevents endpoint execution"],"whenToPreferThis":"Choose this endpoint when you need two complementary analytical views — grouped aggregation and numeric range filtering — on join coverage data in a single $0.01 call. It is ideal for ETL monitoring, data quality audits, and join completeness checks where you already have the raw records and need fast local computation without external data dependencies.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T18:54:28.754Z","isFirstParty":false,"canonicalSlug":"join-coverage-grouped-numeric-summary-numeric-interval-filter-30045e18"}