{"uid":"cap_2Wo641aV3sU9BOBRDGCqu","slug":"join-coverage-analytics-category-frequencies-keyed-dataset-comparison-27231934","name":"Join Coverage Analytics: Category Frequencies + Keyed Dataset Comparison","description":"Join coverage — Category frequencies + Keyed dataset comparison: Category frequencies + 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-09-111?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}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"source_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"matched_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","source_rows":1,"matched_rows":10,"dataset_group":"group-a"},{"date":"2026-10-02","row_id":"row-2","source_rows":2,"matched_rows":20,"dataset_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","source_rows":3,"matched_rows":15,"dataset_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","source_rows":4,"matched_rows":30,"dataset_group":"group-b"}],"maxItems":200,"minItems":1},"other":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","matched_rows","source_rows"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","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__B-FzLGggKTcI55P0gwSV","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 category frequencies and performing a keyed dataset comparison between two supplied datasets of up to 200 rows each.","exampleAgentPrompt":"Can you run a join coverage analysis on these two datasets — comparing matched_rows and source_rows across group-a and group-b entries from October 2026 — and give me both a category frequency breakdown and a keyed row-by-row comparison of the two snapshots?","exampleUseCases":[{"title":"ETL pipeline join audit","prompt":"I have two snapshots of my ETL join results from last month — the original run and a reprocessed version. Each has up to 150 rows with row_id, date, dataset_group, matched_rows, and source_rows. Can you compute category frequencies for each group and compare the two snapshots row-by-row to show me where matched_rows differ?"},{"title":"Data migration coverage check","prompt":"After migrating our customer data, I want to verify join coverage. I have the pre-migration and post-migration records — about 80 rows each — with matched_rows and source_rows per group. Can you analyze category frequencies by dataset_group and compare the two datasets keyed by row_id to surface any coverage gaps?"},{"title":"Weekly join quality monitoring","prompt":"Every week I track join coverage for two data feeds — group-a and group-b — and I want to compare this week's results against last week's. I've got about 50 rows for each week with matched_rows and source_rows. Can you give me category frequencies for both groups and a side-by-side keyed comparison showing where coverage changed?"}],"resultDescription":"Returns two independent analytical reports: (1) a category frequencies report showing how join coverage records are distributed across dataset_group categories, and (2) a keyed dataset comparison report highlighting differences between the 'rows' and 'other' datasets matched by row_id, covering matched_rows and source_rows values. All analysis is performed locally on the supplied data with no external lookups.","failureModes":["Exceeding 200 rows in either dataset returns a validation error","Missing required fields (row_id, dataset_group, date, matched_rows, source_rows) causes schema rejection","Malformed date strings not matching YYYY-MM-DD pattern cause input validation failure","Supplying fewer than 1 row in either array triggers a minItems error","Numeric values outside ±1,000,000,000,000 range are rejected"],"whenToPreferThis":"Choose this endpoint when you have two sets of join coverage records (matched_rows, source_rows, dataset_group, date) and need both a categorical frequency profile and a keyed row-by-row comparison in a single low-cost call. It is ideal for data engineers and analysts auditing ETL join completeness, comparing dataset snapshots, or monitoring join quality over time — all without needing an external database or prediction service. Best when datasets are under 200 rows and you want two complementary analytical perspectives in one request for $0.01.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T18:54:27.420Z","isFirstParty":false,"canonicalSlug":"join-coverage-analytics-category-frequencies-keyed-dataset-comparison-27231934"}