{"uid":"cap_-MZZZ-huDAkeB7wVAQpvY","slug":"join-coverage-analytics-base-100-series-two-measure-correlation-5b96dfe3","name":"Join Coverage Analytics — Base-100 Series & Two-Measure Correlation","description":"Join coverage — Base-100 series + Two-measure correlation: Base-100 series + Two-measure correlation 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-09-165?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_bF_CcBi38dMY372RW12Kk","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 two-measure correlation report for supplied join coverage data (matched_rows vs source_rows) across up to 200 rows.","exampleAgentPrompt":"I have 4 rows of join coverage data — for group-a on 2026-10-01 source_rows=1 matched_rows=10, group-b on 2026-10-02 source_rows=2 matched_rows=20, group-a on 2026-10-03 source_rows=3 matched_rows=15, group-b on 2026-10-04 source_rows=4 matched_rows=30 — can you index matched_rows to base-100 starting from row 0 and also compute the correlation between matched_rows and source_rows across all rows?","exampleUseCases":[{"title":"ETL pipeline join quality audit","prompt":"I have daily join coverage records from my ETL pipeline for October — each row has a date, a dataset_group, source_rows, and matched_rows. Can you index matched_rows to base-100 starting from day 0 and tell me how strongly matched_rows and source_rows are correlated across all 30 rows?"},{"title":"Multi-group match rate trend comparison","prompt":"I've got 50 rows of join coverage data split across two dataset groups, with dates from 2025-01-01 to 2025-02-19. Please produce a base-100 series for source_rows indexed from row 0 and also compute the two-measure correlation between source_rows and matched_rows so I can see if both groups move together."},{"title":"Data reconciliation baseline benchmarking","prompt":"My reconciliation team exported 120 rows of matched vs source row counts by date and group. Can you normalize the matched_rows field to a base-100 index starting at position 0, and then run a correlation report between matched_rows and source_rows to see if coverage quality tracks with data volume?"}],"resultDescription":"Returns two analytical reports: (1) a base-100 indexed time series for the selected field (matched_rows or source_rows), anchored at the specified base_index row, showing relative change across all supplied rows; and (2) a two-measure correlation report quantifying the statistical relationship between matched_rows and source_rows across the dataset. Both reports are computed locally on the supplied data with no external lookups.","failureModes":["More than 200 rows submitted — endpoint accepts a maximum of 200 rows","Missing required fields (row_id, date, matched_rows, source_rows, dataset_group) on any row — validation error","date field not matching YYYY-MM-DD pattern — schema validation failure","base_index out of range (must be 0–199 and within actual row count) — index error","All matched_rows or source_rows values are null — insufficient data for correlation","Malformed JSON payload — request rejected before processing"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of join coverage data (matched_rows and source_rows per date and dataset group) and need both a base-100 normalized trend series and a correlation analysis between the two measures in a single $0.01 call. It is ideal for data engineers or analysts auditing ETL pipeline join quality over time without requiring live lookups or external data sources.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:33.558Z","isFirstParty":false,"canonicalSlug":"join-coverage-analytics-base-100-series-two-measure-correlation-5b96dfe3"}