{"uid":"cap_fPV2K6IQqXYL4azMYJ4S-","slug":"record-routing-quality-audit-string-normalisation-numeric-row-ordering-0cbdfb33","name":"Record Routing Quality Audit, String Normalisation & Numeric Row Ordering","description":"Record routing — Record quality audit + String normalisation + Numeric row ordering: Record quality audit + String normalisation + Numeric row ordering for supplied record routing records (accepted_records, rejected_records). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-analytics-19-196?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_tbEc63gLwEs8Lc9sz92Pz","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":"Runs three offline analytical reports on record routing data: quality audit, string normalisation, and numeric row ordering for accepted_records and rejected_records fields across up to 200 rows.","exampleAgentPrompt":"Can you run a quality audit, string normalisation, and numeric row ordering on my record routing data? 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 — analyse the accepted_records field.","exampleUseCases":[{"title":"ETL pipeline record quality check","prompt":"I've got a batch of 50 record routing rows from our ETL pipeline with date, dataset group, accepted record counts, and rejected record counts — can you run a quality audit, string normalisation, and numeric ordering report on all of them focusing on the rejected_records field?"},{"title":"Dataset group name cleanup","prompt":"Our routing dataset has inconsistent dataset_group strings and I need them normalised — can you run the string normalisation report along with the quality audit and numeric row ordering on these 30 rows using the accepted_records field?"},{"title":"Rank routing rows by rejection volume","prompt":"I want to see my 80 record routing rows ordered numerically by rejected_records so I can spot which dataset groups have the most rejections — can you run the full three-report analysis on them?"}],"resultDescription":"Returns three independent analytical reports for the supplied rows: (1) a record quality audit flagging issues in accepted_records or rejected_records, (2) string normalisation results for string fields such as dataset_group and row_id, and (3) a numerically ordered ranking of rows by the chosen field. All analysis is performed locally with no external lookups.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Missing required fields (row_id, dataset_group, date, accepted_records, rejected_records) cause validation errors","Malformed date strings not matching YYYY-MM-DD pattern cause rejection","Numeric values outside ±1,000,000,000,000 boundary cause schema validation failure","Empty rows array returns an error"],"whenToPreferThis":"Choose this endpoint when you need three bundled offline analytical operations — quality audit, string normalisation, and numeric ordering — on record routing data in a single low-cost call. Ideal for ETL pipelines, data validation workflows, or pre-processing steps where you have up to 200 routing records and want structured reports without any external lookups or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T18:53:08.722Z","isFirstParty":false,"canonicalSlug":"record-routing-quality-audit-string-normalisation-numeric-row-ordering-0cbdfb33"}