{"uid":"cap_A05Su_xU8XYJ4ZsYfGgD9","slug":"record-routing-analytics-numeric-distribution-date-by-category-pivot-e6357268","name":"Record Routing Analytics — Numeric Distribution & Date-by-Category Pivot","description":"Record routing — Numeric distribution + Date by category pivot: Numeric distribution + Date by category pivot 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-19-083?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_n4JGcqZ8bKpF0wFOp2YHP","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":"Generates two analytical reports (numeric distribution and date-by-category pivot) for record routing data containing accepted and rejected record counts, using supplied data only.","exampleAgentPrompt":"I have record routing data for two groups over a few days — can you run both the numeric distribution report and the date-by-category pivot on my accepted_records field? Here are the rows: row-1, 2026-10-01, group-a, accepted=10, rejected=1; row-2, 2026-10-02, group-b, accepted=20, rejected=2; row-3, 2026-10-03, group-a, accepted=15, rejected=3.","exampleUseCases":[{"title":"ETL pipeline acceptance rate analysis","prompt":"I want to understand the distribution of accepted records across my data pipeline batches — here's my routing data with row IDs, dates, group names, and accepted/rejected counts for the past week. Run the numeric distribution and date-by-category pivot on accepted_records for me."},{"title":"Data quality rejection pattern review","prompt":"Can you analyze my rejected_records field across these dataset groups and dates? I want to see both where rejections cluster statistically and how they break down by group over time — here are 50 rows with row IDs, dates, group labels, and accept/reject counts."},{"title":"Multi-group routing outcome comparison","prompt":"I have routing records split between group-a and group-b over October, and I want a numeric distribution plus a date-pivot breakdown of the accepted_records to see if one group is outperforming the other — can you run those two reports on my 80 rows?"}],"resultDescription":"Returns two independent analytical reports: (1) a numeric distribution report showing statistical spread (min, max, quantiles, mean, etc.) of the selected field (accepted_records or rejected_records), and (2) a date-by-category pivot table cross-tabulating values by date and dataset_group — all computed locally from the supplied rows without any external lookup.","failureModes":["Exceeding 200 row limit returns an error or truncation","Missing required fields (row_id, date, accepted_records, rejected_records, dataset_group) cause validation failure","Date values not matching YYYY-MM-DD pattern are rejected","Null numeric values may reduce statistical accuracy in distribution report","Invalid field enum value (anything other than accepted_records or rejected_records) causes rejection"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of record routing data with accepted/rejected counts grouped by category and date, and you need both a distribution summary and a pivot breakdown in a single low-cost call ($0.01 USDC). Prefer this over general analytics tools when the data is already in the required schema format and you want fast, deterministic local computation with no external data dependencies.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T18:49:41.126Z","isFirstParty":false,"canonicalSlug":"record-routing-analytics-numeric-distribution-date-by-category-pivot-e6357268"}