{"uid":"cap_IxWVcauDV-U16HPFUq2uw","slug":"join-coverage-analytics-exact-row-deduplication-category-frequencies-26faf64e","name":"Join Coverage Analytics: Exact Row Deduplication + Category Frequencies","description":"Join coverage — Exact row deduplication + Category frequencies: Exact row deduplication + 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-09-041?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_glKNgOtC0BohK0jtl6OXJ","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":"Performs exact row deduplication and category frequency analysis on up to 200 join coverage records (matched_rows, source_rows) for $0.01 USDC, returning two independent analytical reports.","exampleAgentPrompt":"Can you deduplicate these join coverage rows and give me category frequencies by dataset_group? I have 4 records: row-1 on 2026-10-01 with source_rows=1 and matched_rows=10 in group-a, row-2 on 2026-10-02 with source_rows=2 and matched_rows=20 in group-b, row-3 on 2026-10-03 source_rows=3 matched_rows=15 group-a, and row-4 on 2026-10-04 source_rows=4 matched_rows=30 group-b.","exampleUseCases":[{"title":"ETL pipeline join quality audit","prompt":"I have 50 join coverage records from our nightly ETL run — can you find any exact duplicate rows and tell me how frequently each dataset_group appears? Each row has a row_id, date, matched_rows, source_rows, and dataset_group."},{"title":"Data warehouse match rate review","prompt":"After our latest data warehouse merge, I have 120 rows of join coverage results with matched_rows and source_rows values across groups like 'customers', 'orders', and 'products'. Can you deduplicate the rows and give me category frequency counts per group?"},{"title":"QA check on join coverage exports","prompt":"We exported join coverage data from our QA environment — around 80 rows across groups 'alpha' and 'beta' dated from 2026-09-01 to 2026-09-30. Can you run exact row deduplication and show me how many records fall into each dataset_group?"}],"resultDescription":"Returns two independent analytical reports: (1) an exact row deduplication report identifying and removing identical rows from the supplied join coverage records, and (2) a category frequency report showing how many times each unique dataset_group value appears across the input rows. Both reports operate on the up to 200 supplied rows with no external lookups.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required fields (row_id, dataset_group, date, matched_rows, source_rows) — validation error","Date field does not match YYYY-MM-DD pattern — validation error","Numeric fields (matched_rows, source_rows) outside allowed range — validation error","Empty rows array (minItems:1 not met) — validation error","Payment of 0.01 USDC not completed via x402 protocol — unauthorized"],"whenToPreferThis":"Choose this endpoint when you have up to 200 join coverage records and need both exact row deduplication and category frequency analysis in a single low-cost call ($0.01 USDC). It is ideal for data engineers or analysts who want a quick, offline analytical pass on join result datasets without spinning up a database or analytics pipeline. Prefer this over generic analytics services when your data specifically involves matched_rows and source_rows join coverage metrics grouped by dataset_group.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T18:54:29.690Z","isFirstParty":false,"canonicalSlug":"join-coverage-analytics-exact-row-deduplication-category-frequencies-26faf64e"}