{"uid":"cap_fouWAja-G3aopp_5dTR-o","slug":"join-coverage-analytics-exact-row-deduplication-trailing-mean-series-afb00b2b","name":"Join Coverage Analytics: Exact Row Deduplication + Trailing Mean Series","description":"Join coverage — Exact row deduplication + Trailing mean series: Exact row deduplication + Trailing mean 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-09-045?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"},"window":{"type":"integer","default":2,"maximum":200,"minimum":2}}},"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_Qty3ftKIXVuk49u485VVh","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 trailing mean series analysis on supplied join coverage records (matched_rows, source_rows) for up to 200 rows.","exampleAgentPrompt":"Can you run deduplication and trailing mean analysis on my join coverage data — I have 4 rows across group-a and group-b from 2026-10-01 to 2026-10-04 with matched_rows and source_rows values, using a window size of 2 on the matched_rows field?","exampleUseCases":[{"title":"Daily join coverage quality check","prompt":"I have daily join coverage records for two dataset groups over the past week — can you deduplicate the rows and compute a 3-day trailing mean on matched_rows so I can see the smoothed join quality trend?"},{"title":"Source row duplication audit","prompt":"Run exact row deduplication on my join coverage data for group-a and group-b across October, and also give me a trailing mean series for source_rows with a window of 5, so I can audit data pipeline consistency."},{"title":"Coverage ratio trend reporting","prompt":"I need two reports on my join coverage dataset: one that strips out exact duplicate rows, and one that shows the rolling average of matched_rows over a window of 4 — I have about 150 rows across multiple dataset groups."}],"resultDescription":"Returns two independent analytical reports: (1) an exact row deduplication report identifying and removing duplicate entries from the supplied join coverage records, and (2) a trailing mean series report computing rolling averages over the specified window for the chosen field (matched_rows or source_rows), both computed locally without 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 — schema validation failure","Window size outside range 2–200 — parameter error","Numeric values outside allowed range (±1,000,000,000,000) — schema rejection","Empty rows array (minItems:1 not met) — validation error"],"whenToPreferThis":"Choose this endpoint when you need both exact row deduplication and trailing mean series analysis on join coverage data (matched_rows, source_rows) in a single low-cost call. It is ideal for data pipeline quality checks, join audit workflows, or time series smoothing on coverage metrics with up to 200 rows. Prefer it over general-purpose analytics tools when you have structured join coverage records and want two bundled local reports at minimal cost ($0.01 USDC).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T18:54:47.275Z","isFirstParty":false,"canonicalSlug":"join-coverage-analytics-exact-row-deduplication-trailing-mean-series-afb00b2b"}