{"uid":"cap_dxZp7fN5MrbpqyYVx23ot","slug":"join-coverage-duplicate-key-report-and-category-frequencies-3945baf1","name":"Join Coverage Duplicate Key Report and Category Frequencies","description":"Join coverage — Duplicate key report + Category frequencies: Duplicate key report + Category frequencies 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-09-057?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}}},"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_O6RhUoX6IaDR7Zf44ycfa","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 up to 200 join coverage records to produce a duplicate key report and category frequency distribution across dataset groups.","exampleAgentPrompt":"Check my join coverage records for duplicate row IDs and give me the frequency of each dataset group — here are 4 rows: row-1 on 2026-10-01 with matched_rows=10, source_rows=1, group-a; row-2 on 2026-10-02 with matched_rows=20, source_rows=2, group-b; row-3 on 2026-10-03 with matched_rows=15, source_rows=3, group-a; row-4 on 2026-10-04 with matched_rows=30, source_rows=4, group-b.","exampleUseCases":[{"title":"ETL pipeline join audit","prompt":"I just ran a join between my orders and customers tables — here are the coverage rows with row IDs, dates, matched_rows, and source_rows. Can you check for any duplicate row IDs and tell me how often each dataset group appears? Groups are 'orders' and 'customers'."},{"title":"Data quality check before merge","prompt":"Before I merge these two datasets, can you run a duplicate key report and show me the category frequencies? I have 50 join coverage records with row IDs, dates ranging from 2025-01-01 to 2025-02-20, matched_rows and source_rows counts, spread across three dataset groups: alpha, beta, and gamma."},{"title":"Monthly join coverage summary","prompt":"Here are my 120 join coverage records for October — each has a row_id, date, matched_rows, source_rows, and dataset_group. Can you find any duplicate row IDs and give me a frequency count broken down by dataset group?"}],"resultDescription":"Returns two independent analytical reports: (1) a duplicate key report identifying any repeated row_id values across the supplied records, and (2) a category frequency table showing how often each dataset_group value appears across all rows. Both reports are computed locally without external lookups.","failureModes":["Exceeds 200-row limit — request rejected with validation error","Missing required fields (row_id, dataset_group, date, matched_rows, source_rows) — row rejected","Invalid date format (not YYYY-MM-DD) — validation error","Numeric values outside allowed range (-1e12 to 1e12) — validation error","Empty rows array — rejected with minItems violation"],"whenToPreferThis":"Choose this endpoint when you have join coverage data (matched_rows and source_rows per record) and need both a duplicate key check and category frequency analysis in a single call. It is ideal for data engineers auditing ETL pipelines, analysts checking data quality before a merge, or anyone needing fast local analytics on up to 200 join coverage rows without sending data to an external prediction or enrichment service.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:38.958Z","isFirstParty":false,"canonicalSlug":"join-coverage-duplicate-key-report-and-category-frequencies-3945baf1"}