{"uid":"cap_aNcXn0jRh4ZCIO8E83lf5","slug":"join-coverage-analytics-exact-row-deduplication-daily-sum-series-89f0c969","name":"Join Coverage Analytics — Exact Row Deduplication + Daily Sum Series","description":"Join coverage — Exact row deduplication + Daily sum series: Exact row deduplication + Daily sum series 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-09-044?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"}}},"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_2wyTHgBhrj5yxiWZflk70","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 computes daily sum time series for join coverage data (matched_rows, source_rows) across up to 200 supplied records.","exampleAgentPrompt":"I have join coverage records with matched_rows and source_rows across a few dataset groups — can you deduplicate the exact rows and give me daily sum totals for matched_rows? Here are my rows: [{\"row_id\":\"r1\",\"date\":\"2026-10-01\",\"dataset_group\":\"group-a\",\"matched_rows\":10,\"source_rows\":1},{\"row_id\":\"r2\",\"date\":\"2026-10-02\",\"dataset_group\":\"group-b\",\"matched_rows\":20,\"source_rows\":2}].","exampleUseCases":[{"title":"Daily join match quality audit","prompt":"I've got a list of join coverage records for two dataset groups over the past week — can you deduplicate any exact duplicate rows and show me the daily sum of matched_rows so I can see which days had the highest coverage?"},{"title":"Source row completeness check by date","prompt":"Here are 150 join coverage records across three dataset groups. Please deduplicate them and compute the daily sum series for source_rows so I can track how many source rows were present each day."},{"title":"Multi-group coverage trend analysis","prompt":"I need to clean up my join coverage dataset and understand coverage trends — run exact deduplication and give me the daily totals for matched_rows across my group-a and group-b records for October 2026."}],"resultDescription":"Returns two analytical reports: (1) an exact row deduplication result identifying and removing duplicate records from the supplied join coverage rows, and (2) a daily sum time series aggregating the selected field (matched_rows or source_rows) by date, enabling trend analysis across dataset groups.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required fields (row_id, date, dataset_group, matched_rows, source_rows) — validation error","Invalid date format (must match YYYY-MM-DD pattern) — schema validation failure","Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000) — validation error","Empty rows array — minimum 1 item required","Payment failure — 0.01 USDC not provided via x402 protocol"],"whenToPreferThis":"Choose this endpoint when you have up to 200 join coverage records with matched_rows and source_rows fields and need both exact duplicate removal and a daily aggregated time series in a single call. It is ideal for data quality pipelines, ETL validation steps, and coverage trend reporting where you supply the data directly and need two complementary analytical outputs cheaply ($0.01 USDC). Not suitable for live data lookups, predictions, or datasets larger than 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:45.132Z","isFirstParty":false,"canonicalSlug":"join-coverage-analytics-exact-row-deduplication-daily-sum-series-89f0c969"}