{"uid":"cap_0rJpT5ZZscFWoHg9YTjiJ","slug":"record-routing-analytics-numeric-distribution-adjacent-row-changes-b7602d85","name":"Record Routing Analytics — Numeric Distribution & Adjacent Row Changes","description":"Record routing — Numeric distribution + Adjacent row changes: Numeric distribution + Adjacent row changes 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-19-077?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_5YRzY9UypNz1zH-Ns1493","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 accepted and rejected record routing data to produce two reports: a numeric distribution analysis and an adjacent row (period-over-period) change analysis, for up to 200 rows.","exampleAgentPrompt":"Analyze my record routing data — I have 50 rows with accepted_records and rejected_records across two dataset groups, and I want both a numeric distribution breakdown and adjacent-row change analysis for the accepted_records field.","exampleUseCases":[{"title":"ETL pipeline rejection spike detection","prompt":"I have daily record routing logs for the past 3 months — can you run the adjacent row changes report on rejected_records so I can spot any sudden spikes in rejections between consecutive days?"},{"title":"Distribution audit across dataset groups","prompt":"Here are 120 rows of accepted and rejected record counts split across 4 dataset groups. Can you give me the numeric distribution report for accepted_records so I can see how they're spread out?"},{"title":"Data quality trend review for a batch job","prompt":"We just ran a batch ingestion job and I have 80 routing records with accepted and rejected counts. Can you analyze both the distribution and the row-to-row changes for rejected_records so I can assess data quality trends?"}],"resultDescription":"Returns two analytical reports for the supplied routing rows: (1) a numeric distribution report showing statistical spread of the chosen field (accepted_records or rejected_records), and (2) an adjacent row changes report showing value deltas between consecutive rows. Both reports are computed locally from the supplied data with no external lookups.","failureModes":["Fewer than 1 row supplied — minimum row count not met","More than 200 rows submitted — exceeds maximum row limit","Invalid date format (must be YYYY-MM-DD) — schema validation error","Missing required fields (row_id, dataset_group, date, accepted_records, rejected_records) — request rejected","Numeric values outside allowed range (±1,000,000,000,000) — validation failure","Invalid field enum value (must be accepted_records or rejected_records) — bad request"],"whenToPreferThis":"Choose this endpoint when you have tabular record routing data with accepted and rejected counts and need both a distributional summary and a consecutive-row delta analysis in a single low-cost call. Ideal for ETL monitoring, data quality audits, and pipeline health checks where you already have the data locally and need quick statistical reports without external lookups or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T18:53:40.692Z","isFirstParty":false,"canonicalSlug":"record-routing-analytics-numeric-distribution-adjacent-row-changes-b7602d85"}