{"uid":"cap_pof05mLUmQ15i1UpsvfbV","slug":"join-coverage-analytics-numeric-distribution-category-frequencies-f6341f79","name":"Join Coverage Analytics: Numeric Distribution & Category Frequencies","description":"Join coverage — Numeric distribution + Category frequencies: Numeric distribution + Category frequencies 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-09-072?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_YB68X9w03lp3qed02YHWg","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 numeric distribution statistics and category frequency counts for join coverage data (matched_rows, source_rows) across up to 200 rows in two independent analytical reports.","exampleAgentPrompt":"Can you analyze the join coverage data below and give me both the numeric distribution of matched_rows and the frequency breakdown by dataset_group? Here are my rows: row-1 on 2026-10-01, group-a, source_rows=100, matched_rows=80; row-2 on 2026-10-02, group-b, source_rows=200, matched_rows=150; row-3 on 2026-10-03, group-a, source_rows=90, matched_rows=60.","exampleUseCases":[{"title":"ETL pipeline join quality audit","prompt":"I have 50 rows of join coverage results from last week's ETL run — can you compute the numeric distribution of matched_rows and tell me how frequently each dataset_group appears? Rows span 2026-09-25 to 2026-10-01 across groups alpha, beta, and gamma."},{"title":"Comparing source vs matched row spreads","prompt":"Can you run analytics on my join coverage dataset and report the distribution stats for source_rows specifically, plus category frequencies by dataset_group? I've got about 120 records covering groups A through D across October 2026."},{"title":"Daily join coverage monitoring summary","prompt":"Here are today's join coverage records for our data pipeline — 30 rows from 2026-10-15, groups prod and staging. Can you give me both the matched_rows numeric distribution and the breakdown of how many rows fall into each dataset_group?"}],"resultDescription":"Returns two analytical reports: (1) a numeric distribution summary for the selected field (matched_rows or source_rows), including statistics such as min, max, mean, median, and percentiles; and (2) category frequency counts showing how often each dataset_group value appears across the supplied rows. Both reports are computed locally on the provided data with no external lookups.","failureModes":["Fewer than 1 row supplied — request rejected","More than 200 rows supplied — exceeds max item limit","Invalid date format (not YYYY-MM-DD) — schema validation error","Missing required fields (row_id, dataset_group, date, matched_rows, source_rows) — validation failure","Invalid field enum value (not matched_rows or source_rows) — schema rejection","Null values in numeric fields may affect distribution statistics"],"whenToPreferThis":"Choose this endpoint when you need quick, local statistical analysis of join coverage metrics (matched_rows, source_rows) across up to 200 rows, particularly when you want both a numeric distribution and category frequency breakdown in a single low-cost call. Ideal for data engineers monitoring ETL pipeline join quality, auditing match rates by dataset group, or summarizing coverage across date ranges without needing external data enrichment or prediction.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:36.392Z","isFirstParty":false,"canonicalSlug":"join-coverage-analytics-numeric-distribution-category-frequencies-f6341f79"}