{"uid":"cap_KiVXMrWKboxc7r3s9HNNf","slug":"record-routing-string-normalisation-category-frequencies-e4818424","name":"Record Routing – String Normalisation + Category Frequencies","description":"Record routing — String normalisation + Category frequencies: String normalisation + Category frequencies 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-19-024?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}}},"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_2Yv-ZiGaKqOwhoWL43l3p","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 category frequency reports for accepted_records and rejected_records fields across up to 200 record routing rows.","exampleAgentPrompt":"Analyse these 4 record routing 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, and row-4 on 2026-10-04 in group-b with 30 accepted and 4 rejected — give me the string normalisation and category frequency reports.","exampleUseCases":[{"title":"Audit ETL pipeline acceptance rates","prompt":"I have 50 rows from our ETL pipeline with row IDs, dataset groups, dates, and counts of accepted and rejected records — can you run string normalisation and category frequency analysis on all of them so I can see which groups have the most rejections?"},{"title":"Daily routing data quality review","prompt":"Here are today's record routing results across 3 dataset groups for the past week, up to 200 rows total — run the category frequency and string normalisation reports so I can spot any anomalies in how records were routed."},{"title":"Compare routing performance across groups","prompt":"I've got two groups of routing records — group-alpha and group-beta — logged over October with accepted and rejected counts per day. Can you compute string normalisation and category frequencies across all rows so I can compare their routing quality?"}],"resultDescription":"Two analytical reports per call: (1) a string normalisation report that standardises the string fields (such as dataset_group) across the submitted rows, and (2) a category frequency report showing how often each distinct category value appears in the accepted_records and rejected_records fields. Results are computed locally with no external lookups, covering up to 200 input rows.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Missing required fields (row_id, date, accepted_records, rejected_records) cause row-level errors","Date strings not matching YYYY-MM-DD pattern will fail validation","Null numeric values may be excluded from frequency calculations","row_id exceeding 80 characters will be rejected"],"whenToPreferThis":"Choose this endpoint when you need lightweight, local string normalisation and category frequency analytics on record routing data (accepted/rejected record counts) without requiring any external data lookup, prediction, or live API calls. It is especially useful for ETL pipeline audits, data quality reviews, and summarising routing distributions across dataset groups at low cost ($0.01 for up to 200 rows with two reports).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T00:53:27.433Z","isFirstParty":false,"canonicalSlug":"record-routing-string-normalisation-category-frequencies-e4818424"}