{"uid":"cap_fYeqUHI3iIA87kBeLXkRE","slug":"join-coverage-category-frequencies-two-measure-correlation-768fbb4d","name":"Join Coverage — Category Frequencies + Two-Measure Correlation","description":"Join coverage — Category frequencies + Two-measure correlation: Category frequencies + Two-measure correlation 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-09-108?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}}},"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_ow-MIt6z_V57GS29HiE_M","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 Pearson/rank correlation between matched_rows and source_rows measures.","exampleAgentPrompt":"I've got a list of join coverage records with matched_rows and source_rows for two dataset groups — group-a and group-b — across dates in October 2026. Can you run the category frequencies report and compute the correlation between matched_rows and source_rows for those records?","exampleUseCases":[{"title":"ETL pipeline join quality check","prompt":"Here are 50 rows from our daily ETL join — each row has a dataset_group, matched_rows, and source_rows for dates in Q3 2025. Can you show me how often each group appears and whether matched_rows and source_rows are correlated?"},{"title":"Multi-group join coverage profiling","prompt":"I have join coverage data across four dataset groups — alpha, beta, gamma, delta — with matched and source row counts for every day in November 2025. Give me the frequency breakdown per group and tell me how strongly correlated the two row-count measures are."},{"title":"Detecting join skew across datasets","prompt":"We suspect one dataset group is dominating our joins and skewing the match counts. Can you compute category frequencies and the correlation between matched_rows and source_rows for these 120 join coverage records so we can see where the skew is?"}],"resultDescription":"Returns two analytical reports: (1) a category frequency table showing how often each dataset_group value appears in the supplied rows, and (2) a two-measure correlation report quantifying the statistical relationship between matched_rows and source_rows across all records. Both reports are derived entirely from the supplied data with no external lookups.","failureModes":["Fewer than 1 row supplied — rejected by minItems:1 constraint","More than 200 rows supplied — rejected by maxItems:200 constraint","Missing required fields (row_id, dataset_group, date, matched_rows, source_rows) — validation error","date field does not match YYYY-MM-DD pattern — validation error","matched_rows or source_rows outside ±1e12 range — validation error","Payment of 0.01 USDC not completed — 402 Payment Required"],"whenToPreferThis":"Choose this endpoint when you need both a categorical frequency breakdown and a two-measure numeric correlation on join coverage data (matched_rows vs source_rows) in a single paid call. It is ideal for data engineers who want a quick dual-report on up to 200 join records without building their own analytics pipeline. Prefer it over single-report siblings when both category profiling and correlation are needed simultaneously.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T18:54:28.492Z","isFirstParty":false,"canonicalSlug":"join-coverage-category-frequencies-two-measure-correlation-768fbb4d"}