{"uid":"cap_UY-icMF_RWyrOvLcYLEz6","slug":"join-coverage-analytics-category-frequencies-numeric-interval-filter-32114206","name":"Join Coverage Analytics: Category Frequencies + Numeric Interval Filter","description":"Join coverage — Category frequencies + Numeric interval filter: Category frequencies + Numeric interval filter 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-09-101?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"},"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_PszHWVFb-IHwl1Ol3a-Mb","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 by computing category frequency distributions and applying a numeric interval filter on matched_rows or source_rows fields, returning two reports for up to 200 rows.","exampleAgentPrompt":"Analyze these join coverage records for category frequencies by dataset_group and filter on matched_rows between 5 and 50 — I have 4 rows with groups 'group-a' and 'group-b' and matched_rows values of 10, 20, 15, and 30.","exampleUseCases":[{"title":"Join match rate audit by dataset group","prompt":"I have 80 join coverage records across three dataset groups — 'customers', 'orders', and 'products' — and I want to see how frequently each group appears and which records have matched_rows between 10 and 100."},{"title":"Source row volume interval check","prompt":"Can you run analytics on my 150 join coverage rows and show me the frequency breakdown by dataset_group, plus filter source_rows to only those between 500 and 10000?"},{"title":"ETL pipeline join quality review","prompt":"My ETL pipeline produced these join coverage results — 120 rows across groups 'raw', 'staging', and 'curated' — give me category frequencies and flag records where matched_rows falls between 0 and 25."}],"resultDescription":"Returns two independent analytical reports: (1) a category frequency distribution showing how often each dataset_group value appears across the supplied rows, and (2) a numeric interval filter report listing rows where the selected field (matched_rows or source_rows) falls within the specified minimum and maximum bounds. Both reports are computed locally against the supplied data with no external lookups.","failureModes":["More than 200 rows submitted — request exceeds maxItems limit and will be rejected","Invalid date format in any row — must match YYYY-MM-DD pattern","Missing required fields (row_id, dataset_group, date, matched_rows, source_rows) in any row — validation error","Minimum value greater than maximum value — may produce empty interval filter results","Non-numeric values in matched_rows or source_rows fields — schema validation failure","Payment not included or insufficient — x402 payment required at $0.01 USDC"],"whenToPreferThis":"Choose this endpoint when you have join coverage data (matched_rows, source_rows) already in hand and need two quick analytical views — a category frequency breakdown by dataset_group plus a numeric range filter — without any external data lookup, prediction, or live enrichment. It is cost-effective at $0.01 for both reports together on up to 200 rows. Prefer alternatives if you need more than 200 rows, live data fetching, regression/correlation analysis, or keyed dataset comparison (see sibling endpoints for those).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:46.673Z","isFirstParty":false,"canonicalSlug":"join-coverage-analytics-category-frequencies-numeric-interval-filter-32114206"}