{"uid":"cap_JqYHzOJUml_okApYFo8cc","slug":"join-coverage-numeric-distribution-equal-width-histogram-62b275d3","name":"Join Coverage Numeric Distribution & Equal-Width Histogram","description":"Join coverage — Numeric distribution + Equal-width histogram: Numeric distribution + Equal-width histogram 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-09-079?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"bins":{"type":"integer","default":5,"maximum":30,"minimum":1},"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_7lLkrEf4jZjSTjzZ0qk_y","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":"Generates a numeric distribution summary and equal-width histogram for join coverage metrics (matched_rows, source_rows) across up to 200 supplied records.","exampleAgentPrompt":"Can you run a numeric distribution and equal-width histogram on my join coverage data for the matched_rows field — here are 4 records: row-1 (group-a, 2026-10-01, source=1, matched=10), row-2 (group-b, 2026-10-02, source=2, matched=20), row-3 (group-a, 2026-10-03, source=3, matched=15), row-4 (group-b, 2026-10-04, source=4, matched=30) — use 5 bins.","exampleUseCases":[{"title":"ETL pipeline join quality audit","prompt":"I have 50 join coverage records from last month's ETL runs with matched_rows and source_rows values — can you generate a numeric distribution and 10-bin histogram on matched_rows so I can see how well my joins are performing?"},{"title":"Dataset group match rate analysis","prompt":"We have join coverage logs across two dataset groups over Q3, about 120 records. Can you give me a distribution summary and equal-width histogram for source_rows using 8 bins so I can spot any outliers or skew?"},{"title":"Data pipeline coverage monitoring","prompt":"Before we ship this data pipeline to production, run a numeric distribution and histogram on these 30 join coverage records for the matched_rows field with 5 bins — I want to confirm the match counts look normally distributed."}],"resultDescription":"Returns two analytical reports for the selected field (matched_rows or source_rows): (1) a numeric distribution summary (count, min, max, mean, median, std dev, percentiles) and (2) an equal-width histogram showing bin edges and frequency counts. Both reports are computed locally from the supplied rows without any external lookups.","failureModes":["Empty or missing rows array returns a validation error","More than 200 rows submitted causes a rejection due to the maxItems limit","Invalid date format (not YYYY-MM-DD) causes schema validation failure","Bins parameter outside 1–30 range triggers a validation error","Null values in matched_rows or source_rows may affect distribution accuracy","Missing required fields (row_id, dataset_group, date) cause row-level validation errors"],"whenToPreferThis":"Choose this endpoint when you need two complementary statistical views — both a distribution summary and a binned histogram — for join coverage data (matched_rows or source_rows) in a single low-cost call. Ideal for data engineers validating ETL pipeline join quality, auditing record match rates, or exploring the shape of join coverage metrics across dataset groups. Best when you have up to 200 pre-collected records and want fast, local computation without any external data enrichment or prediction.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:35.197Z","isFirstParty":false,"canonicalSlug":"join-coverage-numeric-distribution-equal-width-histogram-62b275d3"}