{"uid":"cap_JpB-VRXjEQBPQl12mMiLf","slug":"join-coverage-analytics-category-frequencies-daily-sum-series-c2907d8e","name":"Join Coverage Analytics — Category Frequencies & Daily Sum Series","description":"Join coverage — Category frequencies + Daily sum series: Category frequencies + 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-09-102?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_0_R3mwM0jQ4Ah0o9QtL7b","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":"Analyzes join coverage records (matched_rows, source_rows) to produce two local statistical reports: category frequency distributions by dataset_group and daily sum time series.","exampleAgentPrompt":"Analyze these join coverage records for me — run both the category frequency report and the daily sum series on the matched_rows field: row-1 on 2026-10-01 with source_rows=1, matched_rows=10 in group-a; row-2 on 2026-10-02 with source_rows=2, matched_rows=20 in group-b; row-3 on 2026-10-03 with source_rows=3, matched_rows=15 in group-a.","exampleUseCases":[{"title":"Join coverage audit by dataset group","prompt":"I have 50 join coverage records across three dataset groups — run both the category frequency report and daily sum series on the matched_rows field so I can see which groups are dominating and how totals trend day by day."},{"title":"Source row daily totals time series","prompt":"Generate the daily sum series for source_rows from my join coverage data — I want to see how many source rows were present each day over the past two weeks across all groups."},{"title":"Matching quality breakdown by category","prompt":"Take these join coverage records and give me the category frequency report on matched_rows so I can see how evenly distributed the match counts are across my dataset_group categories."}],"resultDescription":"Two statistical reports computed locally from the supplied rows: (1) category frequency distribution showing how often each dataset_group appears, and (2) a daily sum series aggregating the selected field (matched_rows or source_rows) by date. No external data is fetched; all analysis is performed on the submitted records, up to 200 rows per call.","failureModes":["Fewer than 1 row supplied — validation error","More than 200 rows submitted — rejected with maxItems error","Invalid date format (not YYYY-MM-DD) — schema validation failure","Missing required fields (row_id, dataset_group, date, matched_rows, source_rows) — request rejected","Field value outside numeric bounds — schema validation error","Null numeric values may affect sum series computation depending on engine handling"],"whenToPreferThis":"Choose this endpoint when you have join coverage data (matched_rows and source_rows per record) and need both a categorical frequency breakdown by group and a daily aggregated time series in a single cheap call ($0.01 USDC). Ideal for data engineers auditing join quality, monitoring match rates over time, or summarizing dataset coverage without needing external lookups or live data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:34.201Z","isFirstParty":false,"canonicalSlug":"join-coverage-analytics-category-frequencies-daily-sum-series-c2907d8e"}