{"uid":"cap_AODqjnke9R_jnojKAGeV7","slug":"export-validation-analytics-grouped-numeric-summary-weighted-mean-1903ce62","name":"Export Validation Analytics — Grouped Numeric Summary + Weighted Mean","description":"Export validation — Grouped numeric summary + Secondary-measure weighted mean: Grouped numeric summary + Secondary-measure weighted mean for supplied export validation records (valid_rows, exported_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-14-096?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","valid_rows","exported_rows"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"valid_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80},"exported_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","valid_rows":10,"dataset_group":"group-a","exported_rows":1},{"date":"2026-10-02","row_id":"row-2","valid_rows":20,"dataset_group":"group-b","exported_rows":2},{"date":"2026-10-03","row_id":"row-3","valid_rows":15,"dataset_group":"group-a","exported_rows":3},{"date":"2026-10-04","row_id":"row-4","valid_rows":30,"dataset_group":"group-b","exported_rows":4}],"maxItems":200,"minItems":1},"field":{"enum":["valid_rows","exported_rows"],"type":"string","default":"valid_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_Cej9xBX5jC1qXZ9B12AUA","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 grouped numeric summary and a secondary-measure weighted mean for export validation records (valid_rows, exported_rows) across up to 200 rows in two independent reports.","exampleAgentPrompt":"Can you run a grouped numeric summary and a weighted mean analysis on my export validation records — I have rows with dataset_group, date, valid_rows, and exported_rows fields (up to 200 rows) and I want to analyze valid_rows grouped by dataset group, using exported_rows as the secondary measure for the weighted mean?","exampleUseCases":[{"title":"ETL pipeline export quality review","prompt":"I have a batch of 150 export validation records from my ETL pipeline, each with a dataset_group, date, valid_rows, and exported_rows. Can you group them and give me a numeric summary plus a weighted mean of valid_rows weighted by exported_rows, so I can see which groups are performing well?"},{"title":"Multi-group data export audit","prompt":"We ran exports across four dataset groups last week and I need to audit the results — can you take my export validation rows and compute a grouped summary and a secondary-measure weighted mean on exported_rows for me?"},{"title":"Daily export validation reporting","prompt":"Each day we log valid_rows and exported_rows per dataset group. Can you take today's 80 export validation rows and produce a grouped numeric summary and a weighted mean report on valid_rows so I can share it with the team?"}],"resultDescription":"Two independent analytical reports: (1) a grouped numeric summary breaking down the selected field (valid_rows or exported_rows) by dataset_group, including descriptive statistics per group; and (2) a secondary-measure weighted mean of the primary field weighted by the other measure, across all supplied export validation records. Results are computed locally with no external lookups.","failureModes":["Fewer than 1 row supplied — request rejected","More than 200 rows submitted — exceeds maximum row limit","Missing required fields (row_id, dataset_group, date, valid_rows, exported_rows) — validation error","Invalid date format (must be YYYY-MM-DD) — schema validation failure","Null values in numeric fields may affect weighted mean computation","Invalid field enum value — must be 'valid_rows' or 'exported_rows'"],"whenToPreferThis":"Choose this endpoint when you need two bundled analytical reports — a grouped numeric summary and a weighted mean — on export validation data (valid_rows, exported_rows) in a single low-cost call. It is ideal for ETL monitoring, data pipeline audits, and export quality checks where you have up to 200 structured records grouped by dataset category and want offline, deterministic computation without any external data lookups or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:38:53.583Z","isFirstParty":false,"canonicalSlug":"export-validation-analytics-grouped-numeric-summary-weighted-mean-1903ce62"}