{"uid":"cap_jKmyywls5-IkkXYl0ROYl","slug":"join-coverage-analytics-exact-row-deduplication-missing-value-fill-c853eba9","name":"Join Coverage Analytics — Exact Row Deduplication + Missing-Value Fill","description":"Join coverage — Exact row deduplication + Explicit missing-value fill: Exact row deduplication + Explicit missing-value fill 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-09-054?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"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"}}},"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_x1hJCLYgcT53gVbg93P8-","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 fills missing values in join coverage data (matched_rows, source_rows), producing 2 analytical reports for up to 200 rows.","exampleAgentPrompt":"Clean up my join coverage data for group-a and group-b across October 2026 — deduplicate exact rows and fill any missing matched_rows values using median imputation. Here are 4 rows with row IDs row-1 through row-4.","exampleUseCases":[{"title":"ETL pipeline join coverage cleanup","prompt":"I have 50 join coverage records across two dataset groups for Q3, and some of the source_rows values are null. Can you deduplicate exact rows and fill in the missing source_rows using median imputation?"},{"title":"Data reconciliation missing-value report","prompt":"Before I run my reconciliation, I need to fill any null matched_rows in my join coverage records using zero-fill and also remove any exact duplicates. Here are 120 rows across my dataset groups — can you give me two clean analytical reports?"},{"title":"Join coverage audit for data team","prompt":"Our data team needs a clean view of join coverage stats for last month. Can you take these 80 rows, deduplicate them exactly, and fill missing matched_rows using mean, then give us the two summary reports?"}],"resultDescription":"Returns 2 independent analytical reports covering: (1) exact duplicate row identification and removal results, and (2) explicit missing-value fill results for the chosen field (matched_rows or source_rows) using the selected method (zero, mean, or median), applied across up to 200 supplied join coverage records.","failureModes":["Input exceeds 200 rows — request rejected","Row missing required fields (row_id, dataset_group, date, matched_rows, source_rows) — validation error","Invalid date format (not YYYY-MM-DD) — schema validation failure","Invalid method enum value outside zero/mean/median — rejected","Invalid field value outside matched_rows/source_rows — rejected","Empty rows array — rejected"],"whenToPreferThis":"Choose this endpoint when you have raw join coverage tabular data (matched_rows, source_rows) that needs exact row deduplication and missing-value imputation before analytics or pipeline processing. It is ideal for small-to-medium datasets (up to 200 rows) where you want two independent local analytical reports without any external lookup, prediction, or live data access. Prefer this over general-purpose data tools when you specifically need join coverage metrics cleaned with controlled fill strategies (zero, mean, or median).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T18:54:32.005Z","isFirstParty":false,"canonicalSlug":"join-coverage-analytics-exact-row-deduplication-missing-value-fill-c853eba9"}