{"uid":"cap_ZGKRvfSMsKw_uRnIMX1ip","slug":"join-coverage-analytics-numeric-distribution-keyed-dataset-comparison-3d0d3363","name":"Join Coverage Analytics: Numeric Distribution + Keyed Dataset Comparison","description":"Join coverage — Numeric distribution + Keyed dataset comparison: Numeric distribution + Keyed dataset comparison 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-09-084?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}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"source_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"matched_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","source_rows":1,"matched_rows":10,"dataset_group":"group-a"},{"date":"2026-10-02","row_id":"row-2","source_rows":2,"matched_rows":20,"dataset_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","source_rows":3,"matched_rows":15,"dataset_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","source_rows":4,"matched_rows":30,"dataset_group":"group-b"}],"maxItems":200,"minItems":1},"field":{"enum":["matched_rows","source_rows"],"type":"string","default":"matched_rows"},"other":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","matched_rows","source_rows"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","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":21,"dataset_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","source_rows":3,"matched_rows":17,"dataset_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","source_rows":4,"matched_rows":33,"dataset_group":"group-b"}],"maxItems":200,"minItems":0}}},"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_Cn5ToDqdQbjHjVWTzuHcM","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 data (matched_rows vs source_rows) by producing a numeric distribution report and a keyed dataset group comparison report for up to 200 supplied rows.","exampleAgentPrompt":"Can you analyze the join coverage for my pipeline data? I have two datasets of up to 50 rows each with row_id, dataset_group, date, matched_rows, and source_rows — run a numeric distribution on matched_rows and compare the two datasets side by side.","exampleUseCases":[{"title":"ETL pipeline join quality audit","prompt":"I want to audit the join coverage for my ETL pipeline — here are 100 rows with row_id, date, matched_rows, and source_rows across two groups ('warehouse' and 'staging'). Give me a numeric distribution of matched_rows and compare the two groups against each other."},{"title":"Daily data reconciliation report","prompt":"I have yesterday's reconciliation data: 80 rows with row_id, dataset_group, date, matched_rows, and source_rows. Can you produce a distribution report for source_rows and compare today's dataset against last week's to spot any coverage shifts?"},{"title":"Cross-dataset join coverage comparison","prompt":"Compare these two join coverage snapshots for me — dataset A has 60 rows and dataset B has 60 rows, both with row_id, dataset_group, date, matched_rows, and source_rows. I want to see the numeric distribution of matched_rows and a side-by-side keyed comparison between the two."}],"resultDescription":"Returns two analytical reports: (1) a numeric distribution of the selected field (matched_rows or source_rows) across the supplied rows, and (2) a keyed dataset group comparison between the primary rows array and the secondary 'other' array — all computed locally from supplied data with no external lookups.","failureModes":["More than 200 rows submitted — exceeds maxItems limit","Missing required fields (row_id, dataset_group, date, matched_rows, source_rows) in any row object","Invalid date format (must match YYYY-MM-DD pattern)","row_id empty or exceeds 80 characters","Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000)","Empty rows array (minItems: 1 required)","Additional properties included in row objects (additionalProperties: false)"],"whenToPreferThis":"Choose this endpoint when you need dual analytical reports — both a numeric distribution and a keyed group comparison — for join coverage metrics (matched_rows and source_rows) from supplied data, without requiring any live data lookup or external enrichment. Ideal for data engineers validating ETL pipeline join quality or reconciling two dataset snapshots at low cost ($0.01 USDC for both reports).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:33.556Z","isFirstParty":false,"canonicalSlug":"join-coverage-analytics-numeric-distribution-keyed-dataset-comparison-3d0d3363"}