{"uid":"cap_Sy5o0MdKrmCq9Ursqhoji","slug":"join-coverage-analytics-numeric-distribution-row-ordering-c2473243","name":"Join Coverage Analytics — Numeric Distribution & Row Ordering","description":"Join coverage — Numeric distribution + Numeric row ordering: Numeric distribution + 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-09-073?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_xmUvz5a_QYWYxwrxbzi-n","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 row ordering analysis for join coverage data (matched_rows, source_rows) across up to 200 supplied rows, returning two independent analytical reports.","exampleAgentPrompt":"Analyze the distribution and row ordering of my join coverage data — I have 4 rows: row-1 on 2026-10-01 with source_rows=1 and matched_rows=10 in group-a, row-2 on 2026-10-02 with source_rows=2 and matched_rows=20 in group-b, row-3 on 2026-10-03 with source_rows=3 and matched_rows=15 in group-a, row-4 on 2026-10-04 with source_rows=4 and matched_rows=30 in group-b — run both reports on the matched_rows field.","exampleUseCases":[{"title":"ETL pipeline join quality audit","prompt":"I have 50 rows of join coverage logs with matched_rows and source_rows for two dataset groups across October — can you run the numeric distribution and row ordering analysis on matched_rows so I can see how evenly my join results are spread and which rows rank highest?"},{"title":"Dataset group comparison by source rows","prompt":"Run distribution and ordering analytics on my join coverage records using the source_rows field — I have 120 rows across three groups (group-a, group-b, group-c) with dates from 2025-01-01 to 2025-04-30, and I want to understand the numeric spread and ranking."},{"title":"Daily join coverage monitoring report","prompt":"I'm tracking daily join coverage for my data warehouse — analyze the numeric distribution and row ordering of matched_rows across my 30 rows of coverage data, one per day in group-prod from 2025-06-01 to 2025-06-30, so I can spot anomalies in match rates."}],"resultDescription":"Returns two independent analytical reports: (1) a numeric distribution report summarizing the statistical spread (e.g. min, max, mean, percentiles, histogram buckets) of the selected field (matched_rows or source_rows) across all supplied rows, and (2) a numeric row ordering report ranking rows by the selected field value. Both reports are computed locally from the supplied data with no external lookups.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required fields (row_id, dataset_group, date, matched_rows, source_rows) — validation error","Date field does not match YYYY-MM-DD pattern — schema validation failure","Numeric values outside allowed range (±1,000,000,000,000) — rejected","Empty rows array (minItems:1 not met) — request rejected","Invalid field enum value (must be 'matched_rows' or 'source_rows') — error"],"whenToPreferThis":"Choose this endpoint when you have pre-assembled join coverage records (matched_rows and source_rows per row) and need both distribution statistics and row-level ordering in a single call for up to 200 rows. It is ideal for data engineers auditing ETL join quality, monitoring match rates over time, or comparing coverage across dataset groups — without needing external data lookups or predictions. At $0.01 USDC for two reports, it is cost-effective for lightweight analytical summaries on supplied data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T18:54:46.993Z","isFirstParty":false,"canonicalSlug":"join-coverage-analytics-numeric-distribution-row-ordering-c2473243"}