{"uid":"cap_Q_cQvM66iSqC1P0PR3vXc","slug":"join-coverage-string-normalisation-keyed-dataset-comparison-1b23d041","name":"Join Coverage — String Normalisation + Keyed Dataset Comparison","description":"Join coverage — String normalisation + Keyed dataset comparison: String normalisation + 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-09-036?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}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"source_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"matched_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","source_rows":1,"matched_rows":10,"dataset_group":"group-a"},{"date":"2026-10-02","row_id":"row-2","source_rows":2,"matched_rows":20,"dataset_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","source_rows":3,"matched_rows":15,"dataset_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","source_rows":4,"matched_rows":30,"dataset_group":"group-b"}],"maxItems":200,"minItems":1},"other":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","matched_rows","source_rows"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","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}}},"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_yO8YP5fkKtAGvo_ATkFMq","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":"Analyzes join coverage metrics (matched_rows, source_rows) across two datasets using string normalization and keyed comparison, producing 2 analytical reports for up to 200 rows.","exampleAgentPrompt":"Can you run a join coverage analysis on these two datasets — use string normalization and keyed comparison — I have up to 50 rows per dataset with row_id, dataset_group, date, matched_rows, and source_rows fields, and I need both reports back so I can see where my join rates differ between group-a and group-b.","exampleUseCases":[{"title":"ETL pipeline join quality audit","prompt":"I just ran an ETL pipeline and I need to check how well my fact table joined to the dimension table. I have 80 rows with row_id, dataset_group, date, matched_rows, and source_rows for both the before and after datasets — can you run a string-normalized keyed comparison and give me both reports so I can spot where the join coverage dropped?"},{"title":"Cross-team dataset reconciliation","prompt":"Our analytics team and the data engineering team have different snapshots of the same join results — can you compare them using string normalization and keyed dataset comparison? I have about 120 rows in each dataset with row_id, dataset_group, date, matched_rows, and source_rows, and I want to see where the numbers diverge across groups."},{"title":"Daily join coverage trend check","prompt":"I want to audit my join coverage metrics for October — I have two sets of daily records (about 30 rows each) with row_id, dataset_group, date, matched_rows, and source_rows, and I need a normalized string comparison report plus the keyed dataset diff so I can see if coverage has been consistent day over day."}],"resultDescription":"Returns 2 independent analytical reports: (1) a string normalization report covering the supplied join coverage data and (2) a keyed dataset comparison report contrasting the primary (rows) and secondary (other) datasets across matched_rows and source_rows, grouped by row_id, dataset_group, and date. No external lookups are performed; all analysis is local.","failureModes":["More than 200 rows submitted — request rejected with validation error","Missing required fields (row_id, dataset_group, date, matched_rows, source_rows) — row-level validation error","Date field does not match YYYY-MM-DD pattern — schema validation failure","Numeric values outside allowed range (±1,000,000,000,000) — schema rejection","Empty rows array — minItems constraint violation","Payment not included or insufficient — x402 payment required error"],"whenToPreferThis":"Choose this endpoint when you need to compare two keyed datasets of join coverage metrics (matched_rows vs source_rows) with string normalization applied to keys, and you want two independent analytical reports from a single cheap call. Ideal for data quality engineers validating ETL join completeness, reconciling two snapshots of the same pipeline output, or auditing group-level join rates over time. Prefer this over single-report variants when you need both string normalization insights and keyed comparison in one pass.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:39.885Z","isFirstParty":false,"canonicalSlug":"join-coverage-string-normalisation-keyed-dataset-comparison-1b23d041"}