{"uid":"cap_Lc46htQXH8xY6ws6ePC8J","slug":"record-routing-analytics-numeric-distribution-secondary-measure-c862250e","name":"Record Routing Analytics — Numeric Distribution & Secondary-Measure Weighted Mean","description":"Record routing — Numeric distribution + Secondary-measure weighted mean: Numeric distribution + Secondary-measure weighted mean for supplied record routing records (accepted_records, rejected_records). 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-19-082?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","accepted_records","rejected_records"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"dataset_group":{"type":"string","default":"","maxLength":80},"accepted_records":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"rejected_records":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","dataset_group":"group-a","accepted_records":10,"rejected_records":1},{"date":"2026-10-02","row_id":"row-2","dataset_group":"group-b","accepted_records":20,"rejected_records":2},{"date":"2026-10-03","row_id":"row-3","dataset_group":"group-a","accepted_records":15,"rejected_records":3},{"date":"2026-10-04","row_id":"row-4","dataset_group":"group-b","accepted_records":30,"rejected_records":4}],"maxItems":200,"minItems":1},"field":{"enum":["accepted_records","rejected_records"],"type":"string","default":"accepted_records"}}},"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_NVWVbAvLSzdW-k5rLNXCL","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 numeric distribution and a secondary-measure weighted mean for record routing data (accepted_records, rejected_records) across up to 200 supplied rows.","exampleAgentPrompt":"Can you run the numeric distribution and weighted mean analysis on my record routing data? I have 4 rows — group-a on 2026-10-01 with 10 accepted and 1 rejected, group-b on 2026-10-02 with 20 accepted and 2 rejected, group-a on 2026-10-03 with 15 accepted and 3 rejected, and group-b on 2026-10-04 with 30 accepted and 4 rejected — use accepted_records as the primary field.","exampleUseCases":[{"title":"Daily ETL pipeline acceptance audit","prompt":"I have a week's worth of daily ETL routing records — each row has an accepted_records count and a rejected_records count across two dataset groups. Can you give me a numeric distribution of accepted_records and a weighted mean using rejected_records as the secondary measure?"},{"title":"Data quality monitoring across groups","prompt":"Run a distribution and secondary-measure weighted mean analysis on my record routing batch for group-a and group-b from October — I want to see how accepted_records spread out and what the weighted mean looks like with rejected_records as the weight."},{"title":"Ingestion rejection rate statistical summary","prompt":"I've got 50 rows of record routing data with dates, group labels, accepted counts, and rejected counts. Can you compute the numeric distribution and the weighted mean for rejected_records and give me both reports?"}],"resultDescription":"Returns two analytical reports for the supplied record routing rows: (1) a numeric distribution of the selected primary field (accepted_records or rejected_records), and (2) a secondary-measure weighted mean — computed locally without any external lookups or predictions. Results cover up to 200 rows of input data.","failureModes":["Missing required fields (row_id, date, accepted_records, rejected_records) cause validation errors","Rows exceeding 200 cause rejection — only up to 200 rows accepted","Invalid date format (non-YYYY-MM-DD) causes schema validation failure","Null values in the primary field may affect distribution accuracy","Invalid enum value for 'field' parameter causes rejection"],"whenToPreferThis":"Choose this endpoint when you need both a numeric distribution and a weighted mean for record routing acceptance/rejection data in a single call, without requiring live data lookups, predictions, or external enrichment. It is ideal for data engineers and pipeline operators who want fast, local statistical summaries of up to 200 rows of accept/reject routing records at minimal cost ($0.01 USDC for two reports).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T18:50:03.118Z","isFirstParty":false,"canonicalSlug":"record-routing-analytics-numeric-distribution-secondary-measure-c862250e"}