{"uid":"cap_C17DyRM_Sphp8mqTWM4vI","slug":"join-coverage-analytics-date-category-pivot-keyed-dataset-comparison-42b0ab9b","name":"Join Coverage Analytics: Date-Category Pivot + Keyed Dataset Comparison","description":"Join coverage — Date by category pivot + Keyed dataset comparison: Date by category pivot + 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-09-188?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_07akpn5ds1mthj3nOQWby","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, source_rows) by producing a date-by-category pivot table and a keyed dataset comparison report for two supplied datasets, up to 200 rows each.","exampleAgentPrompt":"Can you analyze my join coverage data — I have two sets of records (up to 200 rows each) with matched_rows and source_rows fields by date and dataset_group — pivot them by date and category, and then compare the two datasets keyed by row_id using the matched_rows field?","exampleUseCases":[{"title":"ETL pipeline join quality audit","prompt":"I have two snapshots of my ETL pipeline's join coverage — each up to 200 rows with date, dataset_group, matched_rows, and source_rows — can you pivot both by date and category and compare them keyed by row_id to show where join quality changed between the two runs?"},{"title":"Dataset version comparison by group","prompt":"I ran the same join twice with two different configs and have records for both with matched_rows and source_rows per group and date — can you pivot each by date and dataset_group and then do a keyed comparison using matched_rows to highlight the differences?"},{"title":"Monthly join coverage trend review","prompt":"Here are two months of join coverage records for groups A and B, each with date, matched_rows, and source_rows — can you build a date-by-category pivot and compare the two months side by side keyed by row_id, analyzing the source_rows field?"}],"resultDescription":"Returns two independent analytical reports: (1) a date-by-category pivot table showing matched_rows or source_rows values broken out by date and dataset_group, and (2) a keyed dataset comparison report contrasting the two supplied datasets row by row using the selected field. Both reports are computed locally from the supplied data with no external lookups.","failureModes":["More than 200 rows submitted — request rejected","Missing required fields (row_id, dataset_group, date, matched_rows, source_rows) — validation error","Date values not in YYYY-MM-DD format — pattern validation failure","Numeric values outside allowed range (±1,000,000,000,000) — schema rejection","Empty rows array — minItems violation","Invalid field enum value (must be matched_rows or source_rows) — schema error"],"whenToPreferThis":"Choose this endpoint when you have two sets of join coverage records (with matched_rows and source_rows) and need both a date-by-category pivot view and a direct keyed comparison between the two datasets in a single low-cost call. Ideal for data engineers auditing ETL join quality, comparing dataset snapshots, or reviewing how join coverage varies across groups and dates — all without needing external data or live lookups.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:33.557Z","isFirstParty":false,"canonicalSlug":"join-coverage-analytics-date-category-pivot-keyed-dataset-comparison-42b0ab9b"}