{"uid":"cap_gSSu8S9jI-xnVGo-_NG5b","slug":"join-coverage-analytics-numeric-interval-filter-trailing-mean-series-ff0ab310","name":"Join Coverage Analytics: Numeric Interval Filter + Trailing Mean Series","description":"Join coverage — Numeric interval filter + Trailing mean series: Numeric interval filter + 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-09-126?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},"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_RzJWIwSVYwMr184f0qfsH","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":"Runs two analytical reports on join coverage data (matched_rows, source_rows): filters records by a numeric interval and computes a trailing mean time series, for up to 200 rows.","exampleAgentPrompt":"Analyze my join coverage data — filter matched_rows between 0 and 100, then compute a trailing mean with a window of 3, across these rows: row-1 on 2026-10-01 group-a with source_rows=10 matched_rows=50, row-2 on 2026-10-02 group-b with source_rows=8 matched_rows=80, row-3 on 2026-10-03 group-a with source_rows=12 matched_rows=40.","exampleUseCases":[{"title":"Monitoring join completeness over time","prompt":"I have 30 days of join coverage records for two dataset groups. Can you filter matched_rows between 10 and 500 and show me a trailing mean with a window of 7 so I can see the rolling trend in join completeness?"},{"title":"Spotting anomalies in source row counts","prompt":"Run an interval filter on source_rows between 0 and 200 and compute a 5-period trailing mean for my pipeline's join coverage data — I want to catch any periods where row counts fell out of range."},{"title":"Comparing join coverage across dataset groups","prompt":"I've got join coverage data for group-a and group-b across 60 dates. Filter matched_rows between 20 and 300 and give me a trailing mean series with window size 4 so I can compare coverage trends between the two groups."}],"resultDescription":"Returns two analytical reports: (1) rows from the input dataset whose selected field (matched_rows or source_rows) falls within the specified numeric interval [minimum, maximum], and (2) a trailing mean time series for the selected field computed over the specified window size, both derived from the supplied join coverage records.","failureModes":["Fewer than 1 row supplied — request rejected","More than 200 rows supplied — request rejected","Invalid date format (not YYYY-MM-DD) — validation error","Window size outside [2, 200] — validation error","Minimum or maximum outside allowed numeric range — validation error","Missing required row fields (row_id, dataset_group, date, matched_rows, source_rows) — validation error","Payment not provided or insufficient USDC — 402 payment required"],"whenToPreferThis":"Choose this endpoint when you have pre-collected join coverage data (matched_rows, source_rows) and need two specific local analytical transformations — numeric interval filtering and trailing mean computation — without any external data lookup, prediction, or ML model. Ideal for data quality pipelines auditing join completeness metrics in batches of up to 200 rows at minimal cost ($0.01 USDC for both reports).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:36.932Z","isFirstParty":false,"canonicalSlug":"join-coverage-analytics-numeric-interval-filter-trailing-mean-series-ff0ab310"}