{"uid":"cap_qsb8XZ5CRv_NdLSThV2tT","slug":"join-coverage-numeric-row-ordering-equal-width-histogram-0227d0c6","name":"Join Coverage — Numeric Row Ordering + Equal-Width Histogram","description":"Join coverage — Numeric row ordering + Equal-width histogram: Numeric row ordering + 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-09-118?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_TFatJKXxy7dJse9xqbmrk","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 two local analytical reports for join coverage data: a numeric row ordering and an equal-width histogram over matched_rows or source_rows, for up to 200 supplied rows.","exampleAgentPrompt":"Analyze my join coverage data — I have 50 rows with matched_rows and source_rows values across two dataset groups, and I want a numeric row ordering plus a 10-bin equal-width histogram for the matched_rows field.","exampleUseCases":[{"title":"Distribution check on join pipeline results","prompt":"I've got join coverage records from last month across groups A and B, with matched_rows counts ranging from 0 to 50,000 — can you give me a numeric row ordering and a 5-bin equal-width histogram for the matched_rows field so I can see how coverage is distributed?"},{"title":"Auditing source row spread across dataset groups","prompt":"Here are 120 join coverage records tagged by dataset group and date — run a numeric ordering and a 15-bin histogram on source_rows so I can spot if any groups are disproportionately large."},{"title":"Validating ETL join counts over time","prompt":"I have daily join coverage data for 90 days with matched_rows and source_rows — sort the rows numerically and give me a 10-bin histogram on matched_rows so I can see if there are any anomalous spikes in coverage."}],"resultDescription":"Returns two analytical reports: (1) the input rows sorted by the selected numeric field (matched_rows or source_rows), and (2) an equal-width histogram showing bin boundaries, bin labels, and frequency counts for the chosen field across up to 200 input rows. All computation is local with no external lookups.","failureModes":["Fewer than 1 row supplied — request rejected","More than 200 rows supplied — exceeds maximum item limit","Invalid date format (must be YYYY-MM-DD) — validation error","bins value outside 1–30 range — rejected by schema","Null values in matched_rows or source_rows may affect histogram bin calculation","Invalid field enum value (must be matched_rows or source_rows) — schema error","Payment of 0.01 USDC not received — x402 payment required response"],"whenToPreferThis":"Choose this endpoint when you need to both sort join coverage records numerically and understand their frequency distribution via a histogram in a single API call. It is ideal for data engineers profiling ETL join quality, auditing coverage ratios, or detecting skew in matched vs. source row counts. Prefer it over single-report alternatives when you need both ordering and binned distribution together at low cost.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T18:54:31.426Z","isFirstParty":false,"canonicalSlug":"join-coverage-numeric-row-ordering-equal-width-histogram-0227d0c6"}