{"uid":"cap_MaY1Lp6t9PBSydZzLFSHB","slug":"join-coverage-exact-row-deduplication-and-base-100-series-analytics-1726b2f5","name":"Join Coverage Exact Row Deduplication and Base-100 Series Analytics","description":"Join coverage — Exact row deduplication + Base-100 series: Exact row deduplication + Base-100 series 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-09-047?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"},"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_7HCj2hVAmjd41M9BgKjha","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":"Deduplicates supplied join coverage rows and computes a Base-100 indexed series for matched_rows or source_rows metrics across up to 200 records.","exampleAgentPrompt":"I have 4 join coverage records for group-a and group-b from 2026-10-01 to 2026-10-04 — can you deduplicate them and give me a Base-100 series for matched_rows starting from the first row (base_index 0)?","exampleUseCases":[{"title":"ETL pipeline join quality audit","prompt":"I've got a batch of join coverage rows from our nightly ETL — row IDs row-1 through row-50 across dataset groups 'orders' and 'customers' with dates from 2026-09-01 to 2026-10-20. Can you deduplicate them and build a Base-100 series on matched_rows starting at index 0?"},{"title":"Monthly join coverage trend indexing","prompt":"Here are 120 join coverage records for dataset group 'transactions' spanning 2025-01-01 to 2025-12-31. Please remove any duplicate rows and rebase the source_rows values to 100 starting from row index 0 so I can see relative monthly trends."},{"title":"Multi-group coverage comparison baseline","prompt":"I have join coverage data for three groups — 'inventory', 'shipments', and 'returns' — about 80 rows total dated through Q3 2026. Deduplicate the records and give me a Base-100 series on matched_rows using base_index 0 so I can compare coverage across groups."}],"resultDescription":"Returns two analytical reports: (1) an exact-row deduplication summary identifying and removing duplicate join coverage records from the submitted batch, and (2) a Base-100 indexed time series for the selected metric (matched_rows or source_rows), rebased relative to the specified base_index row. Both reports are computed locally with no external lookups.","failureModes":["Fewer than 1 row submitted — returns validation error","More than 200 rows submitted — rejected with maxItems error","Invalid date format (not YYYY-MM-DD) — schema validation failure","base_index out of range (>=200 or >= number of rows) — error","matched_rows or source_rows values outside allowed numeric range — rejected","Missing required fields (row_id, dataset_group, date) — schema error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 join coverage records (matched_rows and source_rows) and need both exact-row deduplication and a Base-100 normalized time series in a single low-cost call ($0.01 USDC). Ideal for ETL quality checks, join audit pipelines, or trend normalization where no live data lookup or external enrichment is needed — just local analytical computation on supplied data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T12:50:52.988Z","isFirstParty":false,"canonicalSlug":"join-coverage-exact-row-deduplication-and-base-100-series-analytics-1726b2f5"}