{"uid":"cap_lAWTBGk3vMOxcFtfE4ZZU","slug":"join-coverage-record-quality-audit-and-equal-width-histogram-4c969a5d","name":"Join Coverage Record Quality Audit and Equal-Width Histogram","description":"Join coverage — Record quality audit + Equal-width histogram: Record quality audit + 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-09-013?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_o-UBYa-ez12y2xhCfutRn","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":"Runs a record quality audit and an equal-width histogram analysis on join coverage data (matched_rows, source_rows) for up to 200 rows, returning two independent analytical reports.","exampleAgentPrompt":"Can you run a record quality audit and a 10-bin equal-width histogram on my join coverage data for the matched_rows field? I have about 50 rows covering dataset groups 'orders' and 'customers' from last quarter.","exampleUseCases":[{"title":"ETL pipeline join coverage audit","prompt":"I need a quality audit and a histogram with 8 bins on matched_rows for my ETL join coverage — here are 120 rows across three dataset groups: 'sales', 'inventory', and 'returns', dated from 2024-01-01 to 2024-03-31. Can you run both reports?"},{"title":"Detecting nulls in source row counts","prompt":"Can you check the record quality of my join coverage data for nulls and bad values in the source_rows field, and also give me a 5-bin histogram? I've got 60 rows across two groups, 'users' and 'events'."},{"title":"Daily coverage distribution summary","prompt":"I want to analyze the distribution of matched_rows in my daily join coverage dataset — run a 15-bin equal-width histogram and a quality audit across 200 rows for dataset group 'transactions' from 2024-06-01 through 2024-06-30."}],"resultDescription":"Two analytical reports: (1) a record quality audit identifying missing values, nulls, and data issues in the supplied join coverage records; and (2) an equal-width histogram of the selected field (matched_rows or source_rows) divided into the specified number of bins, summarizing value distribution across the dataset.","failureModes":["Fewer than 1 row submitted returns a validation error","More than 200 rows submitted exceeds the row limit","Invalid date format (not YYYY-MM-DD) causes schema rejection","bins value outside 1–30 range returns a validation error","Non-numeric values in matched_rows or source_rows where numbers are required may cause computation failure","Missing required fields (row_id, dataset_group, date) cause schema validation errors"],"whenToPreferThis":"Choose this endpoint when you need both a data quality audit and a histogram distribution analysis on join coverage data (matched_rows and source_rows) in a single low-cost call. It is ideal for data engineers and analysts who want to assess join completeness and detect anomalies in batch form for up to 200 rows without needing external lookups, predictions, or live data connections.","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-record-quality-audit-and-equal-width-histogram-4c969a5d"}