{"uid":"cap_pnlZFh3mHRf1VYRXr_OV7","slug":"join-coverage-analytics-category-frequencies-trailing-mean-series-2b5f2ca7","name":"Join Coverage Analytics: Category Frequencies + Trailing Mean Series","description":"Join coverage — Category frequencies + Trailing mean series: Category frequencies + 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-09-103?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_7RVMZdUUHscSRTuh9zoCB","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":"Computes category frequency distributions and trailing mean time series for join coverage metrics (matched_rows, source_rows) across up to 200 supplied records.","exampleAgentPrompt":"Can you run a join coverage analysis on my dataset — I have 150 rows with matched_rows and source_rows by date and dataset_group, and I want both the category frequency breakdown and a trailing mean series for matched_rows using a window of 7?","exampleUseCases":[{"title":"ETL pipeline join quality audit","prompt":"I need to audit my ETL pipeline's join coverage — here are 120 rows with daily matched_rows and source_rows across three dataset groups. Can you give me the category frequencies by group and the trailing mean for matched_rows with a window of 5?"},{"title":"Match rate trend monitoring","prompt":"I have a time series of join results across two dataset groups over the past quarter — about 90 rows. Can you compute the trailing mean for source_rows with a window of 10 and show me the category frequency breakdown?"},{"title":"Data integration quality report","prompt":"We're comparing two data sources and I have 60 rows of matched_rows and source_rows by date and dataset group. Can you run the category frequencies plus a trailing mean series for matched_rows using a window of 3 so I can see how join quality changes over time?"}],"resultDescription":"Returns two analytical reports: (1) category frequency counts for each dataset_group in the supplied records, and (2) a trailing mean time series for the selected field (matched_rows or source_rows) computed over the specified rolling window. Results are derived entirely from the supplied data with no external lookups.","failureModes":["Fewer than 1 or more than 200 rows supplied — rejected by schema validation","Window size larger than the number of rows yields insufficient data for trailing mean","Invalid date format (not YYYY-MM-DD) causes parsing failure","Missing required fields (row_id, date, matched_rows, source_rows, dataset_group) causes validation error","Null values in matched_rows or source_rows may reduce trailing mean coverage","Payment failure via x402 protocol returns 402 before processing"],"whenToPreferThis":"Choose this endpoint when you need dual analytical output — both a categorical frequency breakdown and a rolling mean time series — for join coverage metrics in a single $0.01 call. Ideal for data engineers auditing ETL join quality across dataset groups over time, especially when you want both distribution and trend information without calling two separate services.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:36.393Z","isFirstParty":false,"canonicalSlug":"join-coverage-analytics-category-frequencies-trailing-mean-series-2b5f2ca7"}