{"uid":"cap_ATEhgi-jhjT4TBd7bYYon","slug":"join-coverage-exact-row-deduplication-and-duplicate-key-report-d2c0c08e","name":"Join Coverage Exact Row Deduplication and Duplicate Key Report","description":"Join coverage — Exact row deduplication + Duplicate key report: Exact row deduplication + Duplicate key report 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-09-038?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_fYjGmwnmz7ZnusD6sTkuE","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":"Deduplicates up to 200 join coverage records by exact row and produces a duplicate key report across matched_rows and source_rows fields.","exampleAgentPrompt":"I have a set of join coverage records with row_id, date, dataset_group, matched_rows, and source_rows — can you run exact row deduplication and get me a duplicate key report for these rows: [{\"row_id\":\"row-1\",\"date\":\"2026-10-01\",\"dataset_group\":\"group-a\",\"matched_rows\":10,\"source_rows\":1},{\"row_id\":\"row-2\",\"date\":\"2026-10-02\",\"dataset_group\":\"group-b\",\"matched_rows\":20,\"source_rows\":2}]?","exampleUseCases":[{"title":"ETL pipeline data quality audit","prompt":"I just pulled join coverage output from my ETL pipeline and I need to check for exact duplicate rows and get a duplicate key report — here are 50 records with row_id, date, dataset_group, matched_rows, and source_rows. Can you run deduplication and flag any duplicate keys?"},{"title":"Pre-merge dataset deduplication","prompt":"Before I merge these two join coverage datasets, I need to deduplicate the combined records and see a report of any duplicate keys. I have 120 rows with row_id, dataset_group, date, matched_rows, and source_rows — please run both reports."},{"title":"Join coverage regression check","prompt":"My join coverage numbers look off — can you take these 80 records (with row_id, date, dataset_group, matched_rows, source_rows) and tell me if there are any exact duplicate rows or duplicate keys that might be inflating my counts?"}],"resultDescription":"Returns two independent reports for the supplied join coverage rows: (1) an exact row deduplication report identifying and removing fully identical rows, and (2) a duplicate key report flagging records sharing the same key fields across matched_rows and source_rows. Both reports are computed locally on the supplied data with no external lookups.","failureModes":["More than 200 rows submitted — request rejected or truncated","Missing required fields (row_id, dataset_group, date, matched_rows, source_rows) — validation error","Invalid date format (not YYYY-MM-DD) — schema validation failure","Numeric values outside allowed range (-1e12 to 1e12) — schema rejection","Empty rows array — minItems:1 constraint violation","Payment not included or insufficient — x402 payment required error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 join coverage records (with matched_rows and source_rows fields) and need both exact row deduplication and a duplicate key report in a single low-cost call. Prefer this over general-purpose deduplication tools when your data specifically follows the join coverage schema (row_id, dataset_group, date, matched_rows, source_rows). It is ideal for data quality checks before merging, auditing ETL pipeline outputs, or validating join completeness metrics.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T18:54:32.752Z","isFirstParty":false,"canonicalSlug":"join-coverage-exact-row-deduplication-and-duplicate-key-report-d2c0c08e"}