{"uid":"cap_VDaJQLw0jT_GIWC7tLv-M","slug":"join-coverage-analytics-base-100-series-keyed-dataset-comparison-356b4928","name":"Join Coverage Analytics: Base-100 Series + Keyed Dataset Comparison","description":"Join coverage — Base-100 series + Keyed dataset comparison: Base-100 series + Keyed dataset comparison 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-09-168?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}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"source_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"matched_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","source_rows":1,"matched_rows":10,"dataset_group":"group-a"},{"date":"2026-10-02","row_id":"row-2","source_rows":2,"matched_rows":20,"dataset_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","source_rows":3,"matched_rows":15,"dataset_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","source_rows":4,"matched_rows":30,"dataset_group":"group-b"}],"maxItems":200,"minItems":1},"field":{"enum":["matched_rows","source_rows"],"type":"string","default":"matched_rows"},"other":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","matched_rows","source_rows"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","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":21,"dataset_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","source_rows":3,"matched_rows":17,"dataset_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","source_rows":4,"matched_rows":33,"dataset_group":"group-b"}],"maxItems":200,"minItems":0},"base_index":{"type":"integer","default":0,"maximum":199,"minimum":0}}},"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_6A2p5r5wLNeVyLrYpHkld","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":"Computes a Base-100 indexed time series and a keyed dataset comparison report for join coverage metrics (matched_rows, source_rows) across up to 200 supplied rows, producing two independent analytical reports.","exampleAgentPrompt":"I have two sets of join coverage records — each with up to 50 rows including row_id, date, dataset_group, matched_rows, and source_rows — can you run a Base-100 series and keyed dataset comparison on the matched_rows field to see how the two datasets differ?","exampleUseCases":[{"title":"ETL pipeline join quality audit","prompt":"I have before-and-after join coverage data for my ETL pipeline — two arrays of about 40 rows each with row_id, date, dataset_group, matched_rows, and source_rows. Run a Base-100 series and keyed comparison on matched_rows so I can see where my join quality degraded."},{"title":"Dataset migration match-rate benchmarking","prompt":"We migrated data to a new system and I want to compare join coverage: I have the old system's rows and the new system's rows, each with row_id, date, dataset_group, matched_rows, and source_rows. Give me a Base-100 indexed trend and a side-by-side keyed comparison on source_rows."},{"title":"Multi-group join coverage trend analysis","prompt":"I have two monthly join coverage snapshots across three dataset groups — group-a, group-b, and group-c — each with about 30 rows including matched_rows and source_rows. Can you compute the Base-100 series and keyed dataset comparison on matched_rows so I can spot which group's coverage is diverging?"}],"resultDescription":"Returns two independent analytical reports: (1) a Base-100 indexed time series normalizing the selected field (matched_rows or source_rows) to a baseline of 100 for trend comparison, and (2) a keyed dataset comparison report aligning the two supplied datasets by row_id and dataset_group to highlight coverage differences. All computation is performed locally on the supplied data with no external lookups.","failureModes":["Fewer than 1 or more than 200 rows supplied — request rejected","Missing required row fields (row_id, dataset_group, date, matched_rows, source_rows) — validation error","Date strings not matching YYYY-MM-DD pattern — schema validation failure","Numeric values exceeding ±1,000,000,000,000 — out-of-range error","Mismatched row_ids between rows and other arrays may produce sparse comparison output","Null values in matched_rows or source_rows may affect Base-100 calculation accuracy"],"whenToPreferThis":"Choose this endpoint when you have two structured join coverage datasets (with matched_rows and source_rows) and need both a normalized time-series trend (Base-100) and a keyed side-by-side comparison in a single low-cost call. It is ideal for data engineers auditing ETL join quality, comparing pre/post migration datasets, or benchmarking coverage across dataset groups — all without requiring external data access or live lookups.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:41.323Z","isFirstParty":false,"canonicalSlug":"join-coverage-analytics-base-100-series-keyed-dataset-comparison-356b4928"}