{"uid":"cap_kq5msNw9VOASuJ3KCye_E","slug":"join-coverage-iqr-outlier-flags-secondary-measure-weighted-mean-fb514332","name":"Join Coverage IQR Outlier Flags + Secondary-Measure Weighted Mean","description":"Join coverage — IQR outlier flags + Secondary-measure weighted mean: IQR outlier flags + 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-09-177?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_91fdZLLoyVxVBG15-KQF_","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 data (matched_rows, source_rows) to flag IQR-based outliers and compute a secondary-measure weighted mean across up to 200 rows in two independent reports.","exampleAgentPrompt":"Run IQR outlier detection and a weighted mean report on my join coverage data — the field is matched_rows — with these 4 rows: row-1 on 2026-10-01 in group-a with source_rows=1 and matched_rows=10, row-2 on 2026-10-02 in group-b with source_rows=2 and matched_rows=20, row-3 on 2026-10-03 in group-a with source_rows=3 and matched_rows=15, row-4 on 2026-10-04 in group-b with source_rows=4 and matched_rows=30.","exampleUseCases":[{"title":"Pipeline join anomaly detection","prompt":"I have daily join coverage records for two dataset groups over the past week — can you flag any outliers in the matched_rows values using IQR and also give me the weighted mean? Here are the rows: row-1 2026-10-01 group-a source_rows=100 matched_rows=95, row-2 2026-10-02 group-a source_rows=102 matched_rows=4, row-3 2026-10-03 group-b source_rows=200 matched_rows=198, row-4 2026-10-04 group-b source_rows=198 matched_rows=195."},{"title":"Source row coverage quality check","prompt":"Run the IQR outlier flags and secondary-measure weighted mean on my source_rows field for these join records across three groups — row-1 2026-11-01 group-x source_rows=50 matched_rows=48, row-2 2026-11-02 group-y source_rows=300 matched_rows=290, row-3 2026-11-03 group-z source_rows=51 matched_rows=49, row-4 2026-11-04 group-x source_rows=2 matched_rows=1 — I want to see if any source_rows values are statistical outliers."},{"title":"Dataset group join rate monitoring","prompt":"Can you analyze these join coverage records and give me both the IQR outlier report and the weighted mean for matched_rows? Groups are alpha and beta: row-1 2026-09-01 alpha source_rows=500 matched_rows=490, row-2 2026-09-02 beta source_rows=510 matched_rows=505, row-3 2026-09-03 alpha source_rows=498 matched_rows=3, row-4 2026-09-04 beta source_rows=502 matched_rows=499, row-5 2026-09-05 alpha source_rows=495 matched_rows=488."}],"resultDescription":"Returns two independent analytical reports for the submitted join coverage rows: (1) IQR-based outlier flags indicating which rows have matched_rows or source_rows values outside the interquartile range, and (2) a secondary-measure weighted mean computed across the supplied data. No external data is fetched; all analysis is performed locally on the supplied rows.","failureModes":["Fewer than 1 row submitted — validation error","More than 200 rows submitted — exceeds max items limit","Missing required fields (row_id, dataset_group, date, matched_rows, source_rows) — schema validation failure","Invalid date format (not YYYY-MM-DD) — pattern validation error","field enum value not 'matched_rows' or 'source_rows' — invalid enum error","Payment not completed via x402 protocol — 402 response, no report returned"],"whenToPreferThis":"Choose this endpoint when you need both IQR-based outlier detection and a weighted mean on join coverage metrics (matched_rows or source_rows) in a single call, without any external lookup or live data dependency. It is well-suited for data quality pipelines, ETL monitoring dashboards, or ad-hoc statistical checks on up to 200 join coverage records. Prefer this over generic stats libraries when you want a bundled two-report output (outlier flags + weighted mean) with a predictable per-call cost.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:36.392Z","isFirstParty":false,"canonicalSlug":"join-coverage-iqr-outlier-flags-secondary-measure-weighted-mean-fb514332"}