{"uid":"cap_uaw-Tu9gSskXUWA2SklMi","slug":"record-routing-analytics-category-frequencies-numeric-row-ordering-fb285b2f","name":"Record Routing Analytics — Category Frequencies & Numeric Row Ordering","description":"Record routing — Category frequencies + Numeric row ordering: Category frequencies + 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-19-100?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_AGddX_arsLdpuJHW_nlsf","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 category frequency counts and numeric row ordering for accepted_records and rejected_records fields across up to 200 supplied record routing rows, returning two independent analytical reports.","exampleAgentPrompt":"I have record routing data with accepted and rejected counts across groups — can you run category frequency and numeric row ordering reports on these rows: row-1 (group-a, 2026-10-01, accepted=10, rejected=1), row-2 (group-b, 2026-10-02, accepted=20, rejected=2), row-3 (group-a, 2026-10-03, accepted=15, rejected=3) using the accepted_records field?","exampleUseCases":[{"title":"ETL pipeline quality audit","prompt":"Here's my ETL routing log for last week — 50 rows with dataset_group, date, accepted_records, and rejected_records. Can you run category frequency and numeric ordering reports on the accepted_records field so I can see which groups are processing the most and least data?"},{"title":"Rejected records hotspot detection","prompt":"I want to find which dataset groups are racking up the most rejections in my pipeline. Run category frequencies and numeric row ordering on these 120 routing records using the rejected_records field — I'll paste the rows now."},{"title":"Daily routing batch ranking","prompt":"I've got 30 days of record routing data with accepted and rejected counts per group per day. Give me a frequency breakdown by dataset_group and rank the rows numerically by accepted_records so I can spot the highest-volume days."}],"resultDescription":"Returns two independent analytical reports: (1) a category frequency table showing how often each dataset_group value appears in the submitted rows, and (2) a numeric ordering of rows ranked by the selected field (accepted_records or rejected_records). Both reports are derived entirely from the supplied data — no external lookups or predictions are made.","failureModes":["Empty rows array — rejected, minItems is 1","More than 200 rows submitted — rejected, maxItems is 200","Missing required fields (row_id, dataset_group, date, accepted_records, rejected_records) — validation error","Invalid date format (not YYYY-MM-DD) — pattern validation failure","Numeric values outside ±1,000,000,000,000 range — schema rejection","Invalid field enum value (must be accepted_records or rejected_records) — rejected"],"whenToPreferThis":"Choose this endpoint when you need fast, offline analytical summaries — specifically category frequency counts and numeric row ordering — for record routing data containing accepted/rejected counts. It covers two report types in a single $0.01 USDC call for up to 200 rows, making it cost-effective for lightweight ETL audits and data quality checks where no external lookup or prediction is needed.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T18:49:11.192Z","isFirstParty":false,"canonicalSlug":"record-routing-analytics-category-frequencies-numeric-row-ordering-fb285b2f"}