{"uid":"cap_9UKKeighyqJg3rmtYV6Pb","slug":"join-coverage-analytics-exact-row-deduplication-numeric-interval-filter-8d91bba9","name":"Join Coverage Analytics — Exact Row Deduplication + Numeric Interval Filter","description":"Join coverage — Exact row deduplication + Numeric interval filter: Exact row deduplication + Numeric interval filter 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-09-043?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"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_c0mmIpA9Nr3G-tyOdYKxy","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 exact rows and filters by numeric interval in supplied join coverage records (matched_rows, source_rows), returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"Can you deduplicate these join coverage records and filter to only rows where matched_rows is between 0 and 100? I have 4 rows: row-1 (group-a, 2026-10-01, source_rows=1, matched_rows=10), row-2 (group-b, 2026-10-02, source_rows=2, matched_rows=20), row-3 (group-a, 2026-10-03, source_rows=3, matched_rows=15), row-4 (group-b, 2026-10-04, source_rows=4, matched_rows=30).","exampleUseCases":[{"title":"Audit pipeline join coverage for duplicates","prompt":"I've got a batch of 50 join coverage rows from our ETL pipeline — can you deduplicate them exactly and also filter source_rows to only keep values between 1 and 500? Here are the records: [row-1, group-a, 2026-10-01, source_rows=1, matched_rows=10], ..."},{"title":"Validate match rates within acceptable bounds","prompt":"Can you run a numeric interval filter on these join coverage records, checking matched_rows between 5 and 200, and also deduplicate any repeated rows? I want to see which records fall outside that range and which ones are exact duplicates."},{"title":"Clean dataset before join quality report","prompt":"Before I generate our weekly join quality report, can you deduplicate these 120 join coverage rows exactly and filter out any where source_rows is outside the range 0 to 10000? Use source_rows as the field to filter on."}],"resultDescription":"Returns two independent analytical reports: (1) an exact row deduplication report identifying and removing duplicate records from the supplied join coverage rows, and (2) a numeric interval filter report showing which rows fall within the specified minimum–maximum range for the chosen field (matched_rows or source_rows). Both reports are computed locally with no external lookups.","failureModes":["More than 200 rows submitted — exceeds maxItems limit","Missing required fields (row_id, dataset_group, date, matched_rows, source_rows) on any row","Date field does not match YYYY-MM-DD pattern","Numeric values for matched_rows or source_rows outside allowed range (-1e12 to 1e12)","Invalid field enum value — must be 'matched_rows' or 'source_rows'","minimum greater than maximum causing empty interval result"],"whenToPreferThis":"Choose this endpoint when you need both exact row deduplication and numeric interval filtering on join coverage data (matched_rows and source_rows fields) in a single low-cost call. It is ideal for ETL quality checks, pre-report dataset cleaning, and validating join ratios are within expected bounds. Prefer it over general-purpose analytics when your data model specifically tracks matched_rows and source_rows per dataset_group and date.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T18:54:14.215Z","isFirstParty":false,"canonicalSlug":"join-coverage-analytics-exact-row-deduplication-numeric-interval-filter-8d91bba9"}