{"uid":"cap_6oHIiE3o09vV-VOJYOTFS","slug":"join-coverage-analytics-record-quality-audit-exact-row-deduplication-7be274a8","name":"Join Coverage Analytics: Record Quality Audit + Exact Row Deduplication + Equal-Width Histogram","description":"Join coverage — Record quality audit + Exact row deduplication + Equal-width histogram: Record quality audit + Exact row deduplication + Equal-width histogram for supplied join coverage records (matched_rows, source_rows). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-analytics-09-219?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_gBgfkjihZ8-_1z-uEZkZ_","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 three local analytical reports (record quality audit, exact row deduplication, and equal-width histogram) on up to 200 join coverage rows containing matched_rows and source_rows fields.","exampleAgentPrompt":"Can you run a record quality audit, exact deduplication check, and a 10-bin equal-width histogram on my join coverage data — here are 5 rows with matched_rows and source_rows for dataset groups A and B, and I want the histogram on matched_rows?","exampleUseCases":[{"title":"Join coverage data quality check","prompt":"I have 50 join coverage records with matched_rows and source_rows for several dataset groups from last quarter — can you audit their quality, deduplicate exact duplicates, and show me a 5-bin histogram of the matched_rows values?"},{"title":"Detecting duplicates in pipeline join output","prompt":"My ETL pipeline produced 120 join coverage rows and I suspect there are duplicates — please run an exact deduplication report and a record quality audit on these rows so I know what to clean up."},{"title":"Distribution analysis of source rows","prompt":"Can you generate a 10-bin equal-width histogram of the source_rows field across my 80 join coverage records, along with a quality audit so I can see if any values are null or out of range?"}],"resultDescription":"Returns three independent analytical reports: (1) a record quality audit flagging nulls, type issues, and anomalies in matched_rows/source_rows; (2) an exact row deduplication report identifying and removing duplicate records; and (3) an equal-width histogram of the selected numeric field (matched_rows or source_rows) binned into the specified number of bins. All computed locally without external lookups.","failureModes":["More than 200 rows submitted — request rejected with row count limit error","Missing required fields (row_id, dataset_group, date, matched_rows, source_rows) on any row — validation error","Invalid date format (not YYYY-MM-DD) — schema validation failure","bins value outside 1–30 range — parameter validation error","Empty rows array — minimum item count violation","Numeric values outside ±1,000,000,000,000 range — schema rejection"],"whenToPreferThis":"Choose this endpoint when you need three bundled analytical operations — quality audit, deduplication, and histogram — on join coverage data (matched_rows, source_rows) in a single low-cost call. It is ideal for lightweight, offline profiling of small-to-medium datasets (up to 200 rows) without requiring external data connections or predictions. Prefer it over general-purpose analytics platforms when you want a fast, deterministic, local analysis at $0.01 per call.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T19:17:20.181Z","isFirstParty":false,"canonicalSlug":"join-coverage-analytics-record-quality-audit-exact-row-deduplication-7be274a8"}