{"uid":"cap_yRZBqL81LElT6eo7qwdVh","slug":"join-coverage-analytics-grouped-numeric-summary-weighted-mean-2418548e","name":"Join Coverage Analytics: Grouped Numeric Summary & Weighted Mean","description":"Join coverage — Grouped numeric summary + Secondary-measure weighted mean: Grouped numeric summary + Secondary-measure weighted mean 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-09-096?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_S-uQmsr2Qp6CQX33-fLO0","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 grouped numeric summary statistics and secondary-measure weighted mean for join coverage data (matched_rows, source_rows) across dataset groups.","exampleAgentPrompt":"I have join coverage records across two dataset groups — group-a and group-b — with matched_rows and source_rows for each row from 2026-10-01 to 2026-10-04. Can you give me a grouped numeric summary and the weighted mean of matched_rows across those groups?","exampleUseCases":[{"title":"ETL pipeline join quality audit","prompt":"I have daily join coverage logs for three dataset groups over the past month, with source_rows and matched_rows per day. Can you group them and give me a numeric summary plus the weighted mean of matched_rows so I can spot which groups have poor join rates?"},{"title":"Data warehouse coverage comparison","prompt":"Here are 50 join coverage records across four dataset groups from our data warehouse pipeline. Please compute the grouped numeric summary and secondary-measure weighted mean for source_rows so I can compare coverage completeness across groups."},{"title":"QA report on merge operation results","prompt":"We ran a merge operation and I have before-and-after row counts as matched_rows and source_rows for each dataset group. Can you summarize the numeric distribution by group and calculate the weighted mean of matched_rows to put in our QA report?"}],"resultDescription":"Returns two analytical reports: (1) a grouped numeric summary (e.g. count, min, max, mean, std dev) broken down by dataset_group for the selected field, and (2) a secondary-measure weighted mean where the chosen field is weighted by the other measure — all computed locally from the supplied data, with no external lookups.","failureModes":["Missing required fields (row_id, dataset_group, date, matched_rows, source_rows) cause validation errors","Date strings not matching YYYY-MM-DD pattern are rejected","Submitting more than 200 rows exceeds the maxItems limit and is rejected","Null values in matched_rows or source_rows may affect weighted mean computation","Empty rows array (minItems: 1 violated) returns an error","Invalid field enum value (not 'matched_rows' or 'source_rows') causes schema rejection"],"whenToPreferThis":"Choose this endpoint when you have join coverage data (matched_rows, source_rows) already in hand and need both a grouped numeric summary and a weighted mean computed together in a single call for up to 200 rows. It is ideal for data engineers, QA teams, and analytics pipelines that generate join metrics and want a fast, cost-effective ($0.01 USDC for 2 reports) local computation without any external data enrichment or prediction.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:45.786Z","isFirstParty":false,"canonicalSlug":"join-coverage-analytics-grouped-numeric-summary-weighted-mean-2418548e"}