{"uid":"cap_ay_wZKYDxNyqXTmGdyg32","slug":"join-coverage-analytics-record-quality-audit-exact-row-deduplication-033e64b5","name":"Join Coverage Analytics: Record Quality Audit, Exact Row Deduplication & Daily Sum Series","description":"Join coverage — Record quality audit + Exact row deduplication + Daily sum series: Record quality audit + Exact row deduplication + Daily sum series 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-09-215?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_p2h-oZ0P9hP9mqQFtxr1t","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 analytical reports (record quality audit, exact row deduplication, and daily sum series) on supplied join coverage data (matched_rows, source_rows) for up to 200 rows using local analytical engines.","exampleAgentPrompt":"Can you run the three join coverage analytics reports — record quality audit, exact row deduplication, and daily sum series — on my matched_rows field for these records: 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?","exampleUseCases":[{"title":"ETL join output quality check","prompt":"I have about 50 join coverage records from my ETL pipeline across two dataset groups — can you run a record quality audit, deduplicate exact duplicate rows, and give me a daily sum series for matched_rows so I can spot anomalies?"},{"title":"Deduplicating multi-group coverage data","prompt":"My join coverage dataset has rows for group-a and group-b from the past month and I suspect there are exact duplicates — can you run the deduplication report and the quality audit on all 120 rows using the source_rows field?"},{"title":"Daily aggregation for coverage reporting","prompt":"I need to produce a daily sum series for matched_rows across my join coverage records for October 2026 — run all three reports on my 80-row dataset so I also get the quality and deduplication summaries alongside the daily totals."}],"resultDescription":"Three independent analytical reports returned together: (1) a record quality audit summarizing data completeness and anomalies across supplied rows, (2) an exact row deduplication report identifying and flagging duplicate records, and (3) a daily sum series aggregating the selected field (matched_rows or source_rows) by date — all computed locally against the supplied data with no external lookups.","failureModes":["More than 200 rows supplied — request will be rejected or truncated","Missing required fields (row_id, dataset_group, date, matched_rows, source_rows) cause validation errors","Invalid date format (not YYYY-MM-DD) triggers schema validation failure","Numeric values outside the allowed range cause rejection","Empty rows array returns an error","Field enum value other than 'matched_rows' or 'source_rows' is rejected"],"whenToPreferThis":"Choose this endpoint when you have up to 200 join coverage records and need all three of a quality audit, deduplication check, and daily aggregation in a single low-cost call. It is ideal for ETL pipeline validation, data engineering QA, and coverage reporting workflows where you supply the data locally and need no external enrichment or prediction — just fast, deterministic analytical reports on matched_rows and source_rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T19:16:43.962Z","isFirstParty":false,"canonicalSlug":"join-coverage-analytics-record-quality-audit-exact-row-deduplication-033e64b5"}