{"uid":"cap_fpaLIm7w5bXRiaMhheeWr","slug":"join-coverage-analytics-category-frequencies-secondary-measure-d42ccdc4","name":"Join Coverage Analytics: Category Frequencies + Secondary-Measure Weighted Mean","description":"Join coverage — Category frequencies + Secondary-measure weighted mean: Category frequencies + Secondary-measure weighted mean 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-09-109?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_OipH570ti129FBMH1M69y","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 a secondary-measure weighted mean for join coverage records (matched_rows, source_rows) across up to 200 rows in two independent analytical reports.","exampleAgentPrompt":"Analyze my join coverage data — here are 4 records with dataset groups 'group-a' and 'group-b', dates from 2026-10-01 to 2026-10-04, matched_rows values of 10, 20, 15, 30, and source_rows of 1, 2, 3, 4 — give me the category frequencies and a weighted mean using matched_rows as the field.","exampleUseCases":[{"title":"ETL pipeline join audit","prompt":"I have join coverage records from last week across two dataset groups — can you compute the category frequencies showing how often each group appears, plus a weighted mean of matched_rows across my 8 records dated 2026-10-01 through 2026-10-08?"},{"title":"Source row coverage distribution check","prompt":"Run category frequency and weighted mean reports on these 12 join coverage rows — I want to use source_rows as the field, with dataset groups 'customers' and 'orders' across dates in November 2026."},{"title":"Data quality review before merge","prompt":"Before I merge these datasets, can you analyze the join coverage statistics for my 20 records — show me how often each dataset_group appears and what the weighted mean of matched_rows looks like across all of them?"}],"resultDescription":"Returns two independent analytical reports: (1) category frequency counts showing how often each dataset_group value appears in the supplied rows, and (2) a weighted mean of the specified secondary measure (matched_rows or source_rows) calculated across the supplied join coverage records. Both reports cover up to 200 input rows with no external lookups.","failureModes":["Input array is empty or missing — minimum 1 row required","More than 200 rows supplied — request exceeds maxItems limit","Invalid date format (not YYYY-MM-DD) causes schema validation failure","Missing required fields (row_id, dataset_group, date, matched_rows, source_rows) on any row","matched_rows or source_rows values outside allowed numeric range trigger validation error","Invalid field enum value (not matched_rows or source_rows) causes rejection","Payment of 0.01 USDC not provided or rejected"],"whenToPreferThis":"Choose this endpoint when you need both a category-frequency distribution and a weighted mean computed together in a single paid call for join coverage data (matched_rows, source_rows). It is ideal for data pipeline audits, ETL join quality checks, and dataset merge reviews where you have up to 200 structured rows with dataset_group labels and date-stamped coverage metrics. Prefer it over general-purpose analytics tools when you want two focused reports with no external data dependencies or live lookups.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:34.860Z","isFirstParty":false,"canonicalSlug":"join-coverage-analytics-category-frequencies-secondary-measure-d42ccdc4"}