{"uid":"cap_-x_3TBSJKfruevwBNbBf_","slug":"record-routing-analytics-string-normalisation-daily-sum-series-990fd616","name":"Record Routing Analytics: String Normalisation + Daily Sum Series","description":"Record routing — String normalisation + Daily sum series: String normalisation + Daily sum series 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-19-027?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_UQIrXXSNK4iWPIq4yeUNZ","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 string normalisation and daily sum series reports for accepted_records and rejected_records fields across up to 200 record routing rows.","exampleAgentPrompt":"Run string normalisation and daily sum series reports on my record routing data — I have rows with date, row_id, dataset_group, accepted_records, and rejected_records fields, up to 50 rows, and I want to analyze the accepted_records field.","exampleUseCases":[{"title":"Daily acceptance rate monitoring","prompt":"I have 80 rows of record routing logs with accepted_records and rejected_records counts by date and dataset group — can you run the string normalisation and daily sum series reports on the accepted_records field so I can see daily totals?"},{"title":"ETL pipeline rejection audit","prompt":"Here's my ETL routing data for the past month, about 150 rows with date, group, accepted and rejected record counts. Run both the string normalisation and daily sum series analytics on rejected_records so I can audit where rejections are piling up."},{"title":"Multi-group routing comparison","prompt":"I've got record routing data across groups A and B for Q3, roughly 120 rows. Can you run the string normalisation and daily sum series on the accepted_records field so I can compare daily throughput across the two groups?"}],"resultDescription":"Returns two analytical reports for the supplied dataset: (1) a string normalisation report standardizing text representations of the specified field across rows, and (2) a daily sum series aggregating the chosen field (accepted_records or rejected_records) by date — all computed locally with no external lookups, covering up to 200 input rows.","failureModes":["Input rows exceed 200 items — request will be rejected or truncated","Missing required fields (row_id, date, accepted_records, rejected_records) causes validation errors","Invalid date format (must match YYYY-MM-DD) causes schema rejection","Numeric values outside ±1,000,000,000,000 range rejected","Empty rows array not accepted (minItems: 1)","Invalid field enum value (must be 'accepted_records' or 'rejected_records')"],"whenToPreferThis":"Choose this endpoint when you need two lightweight, supply-side analytics reports — string normalisation and daily sum aggregation — on record routing data (accepted/rejected record counts) without any live lookup, prediction, or external data enrichment. Ideal for ETL audit workflows, data quality checks, and daily throughput summarisation on batches up to 200 rows at low cost ($0.01 USDC for both reports).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T00:54:18.192Z","isFirstParty":false,"canonicalSlug":"record-routing-analytics-string-normalisation-daily-sum-series-990fd616"}