{"uid":"cap_ZSdnBHTdwEmUjiHr3zSMa","slug":"join-coverage-analytics-numeric-row-ordering-numeric-interval-filter-e5d83371","name":"Join Coverage Analytics — Numeric Row Ordering + Numeric Interval Filter","description":"Join coverage — Numeric row ordering + Numeric interval filter: Numeric row ordering + Numeric interval filter 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-09-113?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"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_4AmHihKTYC2JJhKVy89va","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 (matched_rows, source_rows) by applying numeric row ordering and numeric interval filtering, producing 2 analytical reports for up to 200 rows.","exampleAgentPrompt":"I have 4 join coverage records with matched_rows and source_rows for groups A and B from October 2026 — can you run numeric row ordering and an interval filter on the matched_rows field between 0 and 100?","exampleUseCases":[{"title":"ETL join quality audit","prompt":"I have a set of join coverage rows from our daily ETL run with matched_rows and source_rows per dataset group. Can you apply numeric ordering and filter to only rows where matched_rows falls between 10 and 500 so I can spot which joins are underperforming?"},{"title":"Coverage threshold monitoring","prompt":"For these 50 join coverage records across different dataset groups dated last week, run the numeric row ordering and interval filter on source_rows with a minimum of 0 and maximum of 200 — I want to see which groups are within acceptable row counts."},{"title":"Comparing matched vs source row distributions","prompt":"I need two analytical reports on my join coverage dataset of about 100 rows — use numeric ordering and filter the matched_rows field between 5 and 300. The data spans multiple dataset groups and dates through Q4 2026."}],"resultDescription":"Returns 2 independent analytical reports for the supplied join coverage data: one applying numeric row ordering and one applying a numeric interval filter on the selected field (matched_rows or source_rows), covering up to 200 input rows. Reports include computed statistics and filtered/ordered row summaries based on the provided min/max thresholds.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required fields (row_id, dataset_group, date, matched_rows, source_rows) — validation error","Invalid date format (must match YYYY-MM-DD pattern) — schema validation failure","Minimum value greater than maximum value — may produce empty interval results","Non-numeric values in matched_rows or source_rows — type validation error","Empty rows array — rejected due to minItems:1 constraint"],"whenToPreferThis":"Choose this endpoint when you need to analyze join coverage metrics (matched_rows vs source_rows) with both numeric ordering and interval filtering in a single paid call. Ideal for data engineers monitoring ETL pipeline join quality, especially when you want two combined analytical views for up to 200 records at low cost ($0.01 USDC). Prefer this over general analytics tools when working specifically with join coverage data across named dataset groups and dated records.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-11T12:48:37.555Z","isFirstParty":false,"canonicalSlug":"join-coverage-analytics-numeric-row-ordering-numeric-interval-filter-e5d83371"}