{"uid":"cap_EIFnFLE2dcAxnpo1guh4X","slug":"join-coverage-analytics-category-frequencies-numeric-row-ordering-3ee91eaa","name":"Join Coverage Analytics: Category Frequencies + Numeric Row Ordering","description":"Join coverage — Category frequencies + Numeric row ordering: Category frequencies + Numeric row ordering 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-09-100?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_An7Vp32TTnWbyBMcUlUUM","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 category frequency distributions by dataset_group and numeric row ordering for up to 200 rows.","exampleAgentPrompt":"Analyze my join coverage data — here are 4 rows with matched_rows and source_rows across two groups (group-a and group-b) from October 2026 — give me the category frequencies by dataset_group and a numeric ordering of the rows ranked by matched_rows.","exampleUseCases":[{"title":"ETL pipeline join quality audit","prompt":"I have join coverage results from my ETL pipeline — 10 records across 3 dataset groups with matched_rows and source_rows for each date in November 2025. Can you give me the category frequencies by group and rank the rows numerically by matched_rows so I can spot which groups have the worst coverage?"},{"title":"Data warehouse match rate review","prompt":"Here are 50 rows of join coverage data from our data warehouse reconciliation, each tagged with a dataset_group, matched_rows, and source_rows. Please compute the category frequencies across groups and give me a numeric row ordering by source_rows so I can see which records rank highest."},{"title":"Daily join coverage monitoring summary","prompt":"I'm tracking daily join coverage for two groups over the past 30 days — each row has a date, matched_rows, source_rows, and a group label. Can you produce category frequencies by dataset_group and a numeric ordering ranked by matched_rows for today's batch of up to 150 records?"}],"resultDescription":"Returns two analytical reports: (1) category frequencies showing how often each dataset_group appears in the supplied records, and (2) a numeric row ordering ranking each record by the selected field (matched_rows or source_rows). Both reports are computed locally on the submitted data without any external lookups.","failureModes":["Exceeding 200 rows returns a validation error — batch must be split","Missing required fields (row_id, dataset_group, date, matched_rows, source_rows) cause schema validation failure","Invalid date format (not YYYY-MM-DD) triggers pattern validation error","Providing an invalid field enum value (anything other than matched_rows or source_rows) causes rejection","Null numeric values for the selected field may affect ordering completeness"],"whenToPreferThis":"Choose this endpoint when you have join coverage data (matched_rows and source_rows per record) and need both a category frequency breakdown by dataset_group and a numeric ranking of rows by one of those fields in a single $0.01 call. It is ideal for data engineers auditing ETL join quality, reconciling dataset match rates, or summarizing pipeline coverage statistics without needing any external data sources or live predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:33.858Z","isFirstParty":false,"canonicalSlug":"join-coverage-analytics-category-frequencies-numeric-row-ordering-3ee91eaa"}