{"uid":"cap_ri2iGz6fXScst6iFfnnxG","slug":"join-coverage-numeric-interval-filter-equal-width-histogram-d7f1e3a6","name":"Join Coverage — Numeric Interval Filter + Equal-Width Histogram","description":"Join coverage — Numeric interval filter + Equal-width histogram: Numeric interval filter + 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-09-129?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"},"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_wSTPMjqImIs8ug82vEWtn","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":"Filters join coverage records (matched_rows, source_rows) by a numeric interval and computes an equal-width histogram over up to 200 rows in a single call.","exampleAgentPrompt":"I have 120 join coverage records with matched_rows and source_rows values — can you filter them to only those where matched_rows is between 0 and 500, then produce an equal-width histogram with 10 bins? I'll supply the rows in the request.","exampleUseCases":[{"title":"ETL join quality distribution audit","prompt":"Here are 80 join coverage records from last week's ETL runs. Filter to records where source_rows is between 100 and 5000, then give me a 5-bin histogram so I can see how the source row counts are distributed."},{"title":"Matched row outlier range investigation","prompt":"I want to check whether my matched_rows values cluster in a narrow range or spread out. Can you apply an interval filter from 0 to 200 and build a 10-bin equal-width histogram for these 150 join coverage records?"},{"title":"Dataset group coverage comparison","prompt":"I've got 60 join coverage records split between group-a and group-b. Run a numeric interval filter on matched_rows between 10 and 300 and produce a 7-bin histogram so I can see the shape of the distribution."}],"resultDescription":"Returns two analytical reports for the supplied join coverage data: (1) the records that fall within the specified numeric interval for the chosen field (matched_rows or source_rows), and (2) an equal-width histogram with the requested number of bins showing the frequency distribution of that field across all supplied rows.","failureModes":["Rows array exceeds 200 items — request rejected","Invalid date format (non-YYYY-MM-DD) — validation error","minimum greater than maximum — invalid interval error","bins value outside 1–30 range — validation error","Missing required row fields (row_id, dataset_group, date, matched_rows, source_rows) — schema validation failure","All rows filtered out by interval — empty filter result with histogram still computed on full set"],"whenToPreferThis":"Choose this endpoint when you have up to 200 join coverage records with matched_rows and source_rows metrics and need both a numeric range filter and a histogram distribution report in a single low-cost call. It is purpose-built for join quality analytics rather than general-purpose statistics tools, and bundles two reports for $0.01 USDC. Prefer it over generic analytics when your data conforms to the join coverage schema (row_id, dataset_group, date, matched_rows, source_rows).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:34.860Z","isFirstParty":false,"canonicalSlug":"join-coverage-numeric-interval-filter-equal-width-histogram-d7f1e3a6"}