{"uid":"cap_OvHDTegZumpibXFevu-FY","slug":"transcript-preparation-record-quality-audit-string-normalisation-a60f5cc2","name":"Transcript Preparation — Record Quality Audit + String Normalisation + Adjacent Row Changes","description":"Transcript preparation — Record quality audit + String normalisation + Adjacent row changes: Record quality audit + String normalisation + Adjacent row changes for supplied transcript preparation records (transcribed_minutes, source_minutes). 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-writing-12-200?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","document_group","date","transcribed_minutes","source_minutes"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"document_group":{"type":"string","default":"","maxLength":80},"source_minutes":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"transcribed_minutes":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","document_group":"group-a","source_minutes":1,"transcribed_minutes":10},{"date":"2026-10-02","row_id":"row-2","document_group":"group-b","source_minutes":2,"transcribed_minutes":20},{"date":"2026-10-03","row_id":"row-3","document_group":"group-a","source_minutes":3,"transcribed_minutes":15},{"date":"2026-10-04","row_id":"row-4","document_group":"group-b","source_minutes":4,"transcribed_minutes":30}],"maxItems":200,"minItems":1},"field":{"enum":["transcribed_minutes","source_minutes"],"type":"string","default":"transcribed_minutes"}}},"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_rQDkQATUQEB5l-NQcCi9G","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 analytical reports (record quality audit, string normalisation, and adjacent row changes) on up to 200 transcript preparation rows containing transcribed_minutes and source_minutes fields.","exampleAgentPrompt":"Can you run the three-report transcript preparation audit on these 200 rows of transcription data — covering record quality, string normalisation, and adjacent row changes — using the transcribed_minutes field?","exampleUseCases":[{"title":"Transcription accuracy audit for media company","prompt":"I have a batch of up to 200 transcript records with transcribed_minutes and source_minutes values — can you run a full quality audit, string normalisation check, and adjacent row changes analysis on them so I can spot any data issues before we publish?"},{"title":"QA check before transcript database import","prompt":"Before I import these transcript preparation records into our database, can you run the three standard reports — record quality audit, string normalisation, and adjacent row changes — on the transcribed_minutes field across all rows?"},{"title":"Detecting transcription drift across sessions","prompt":"I've got a set of daily transcript logs by document group and date, and I need to detect where adjacent rows show unexpected changes in the source_minutes or transcribed_minutes values — can you run the adjacent row changes and quality audit reports on this dataset?"}],"resultDescription":"Three separate analytical reports for the submitted rows: (1) a record quality audit identifying data issues, (2) a string normalisation report flagging or correcting string formatting problems, and (3) an adjacent row changes report highlighting where consecutive rows differ in the specified field. All analysis is performed locally with no external lookups.","failureModes":["Fewer than 1 row submitted — minItems validation error","More than 200 rows submitted — maxItems validation error","Invalid date format (not YYYY-MM-DD) — pattern validation error","row_id missing or empty — required field error","field value not one of the allowed enum values (transcribed_minutes, source_minutes) — enum validation error","Numeric values outside allowed range — minimum/maximum validation error"],"whenToPreferThis":"Choose this endpoint when you need three bundled analytical passes (quality audit, string normalisation, and adjacent row change detection) on transcript preparation data in a single low-cost call. It is ideal for batch validation of transcription logs before storage or publishing, and when you do not need real-time lookup, prediction, or external data enrichment. It is most cost-effective when you have close to 200 rows, since all three reports are included in the flat $0.01 USDC price.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T12:51:10.265Z","isFirstParty":false,"canonicalSlug":"transcript-preparation-record-quality-audit-string-normalisation-a60f5cc2"}