{"uid":"cap_T32UWMKeWQAAWNSpb9_3I","slug":"record-routing-analytics-numeric-distribution-row-ordering-b1465338","name":"Record Routing Analytics — Numeric Distribution & Row Ordering","description":"Record routing — Numeric distribution + Numeric row ordering: Numeric distribution + Numeric row ordering 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-19-073?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_mQa38gn3Fs0RXqc4hG-B2","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 numeric distribution and row ordering statistics for accepted_records and rejected_records fields across up to 200 supplied routing records, returning two analytical reports per call.","exampleAgentPrompt":"Analyze the numeric distribution and row ordering for the accepted_records field across my routing dataset — here are 4 rows: row-1 on 2026-10-01 in group-a with 10 accepted and 1 rejected, row-2 on 2026-10-02 in group-b with 20 accepted and 2 rejected, row-3 on 2026-10-03 in group-a with 15 accepted and 3 rejected, row-4 on 2026-10-04 in group-b with 30 accepted and 4 rejected.","exampleUseCases":[{"title":"ETL pipeline acceptance rate analysis","prompt":"I have daily ETL routing results across two dataset groups for October — can you run the numeric distribution and row ordering on my accepted_records field? Here are 5 rows: row-1 2026-10-01 group-a 500 accepted 12 rejected, row-2 2026-10-02 group-b 340 accepted 45 rejected, row-3 2026-10-03 group-a 610 accepted 8 rejected, row-4 2026-10-04 group-b 290 accepted 60 rejected, row-5 2026-10-05 group-a 410 accepted 20 rejected."},{"title":"Rejection spike investigation by date","prompt":"I want to understand which dates had the worst rejected_records counts and how they're distributed — can you run distribution and row ordering for the rejected_records field on these 6 routing rows from November: row-1 2026-11-01 group-a 800 accepted 5 rejected, row-2 2026-11-02 group-b 750 accepted 120 rejected, row-3 2026-11-03 group-a 900 accepted 3 rejected, row-4 2026-11-04 group-b 600 accepted 200 rejected, row-5 2026-11-05 group-a 850 accepted 15 rejected, row-6 2026-11-06 group-b 700 accepted 88 rejected?"},{"title":"Multi-group routing performance ranking","prompt":"Can you rank and show the numeric distribution of accepted_records for these routing records across three dataset groups? row-1 2026-09-01 group-a 100 accepted 10 rejected, row-2 2026-09-01 group-b 250 accepted 5 rejected, row-3 2026-09-01 group-c 175 accepted 22 rejected, row-4 2026-09-02 group-a 130 accepted 8 rejected, row-5 2026-09-02 group-b 210 accepted 14 rejected, row-6 2026-09-02 group-c 190 accepted 30 rejected."}],"resultDescription":"Returns two independent analytical reports: (1) a numeric distribution report showing statistical spread (e.g. percentiles, frequency bins) of the selected field (accepted_records or rejected_records) across all supplied rows, and (2) a row ordering report ranking the rows by the selected field value. Both reports are computed locally from the supplied data with no external lookups.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, date, dataset_group) cause row-level rejection","Invalid date format (not YYYY-MM-DD) triggers schema validation failure","Null values in the selected numeric field may affect distribution calculations","Empty rows array returns an error"],"whenToPreferThis":"Choose this endpoint when you need fast, cheap ($0.01 USDC) offline statistical analysis of record routing data — specifically numeric distribution and ranked ordering — without needing external data, predictions, or live lookups. Ideal for ETL monitoring, data quality review, or pipeline auditing where you already have the row-level accepted/rejected record counts and want structured statistical summaries.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:40:58.569Z","isFirstParty":false,"canonicalSlug":"record-routing-analytics-numeric-distribution-row-ordering-b1465338"}