{"uid":"cap_rCM8zuSwWbo514a808H-s","slug":"transcript-preparation-string-normalisation-adjacent-row-changes-687f265f","name":"Transcript Preparation — String Normalisation + Adjacent Row Changes","description":"Transcript preparation — String normalisation + Adjacent row changes: String normalisation + Adjacent row changes for supplied transcript preparation records (transcribed_minutes, source_minutes). 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-writing-12-029?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_HQj-n7UHvbJi9OntXVLIU","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":"Analyzes up to 200 transcript preparation records (transcribed_minutes, source_minutes) producing two reports: string normalization and adjacent row change detection.","exampleAgentPrompt":"Run string normalization and adjacent row change analysis on my transcript preparation records — I have 4 rows across two document groups (group-a and group-b) with dates from 2026-10-01 to 2026-10-04, and I want to analyze the transcribed_minutes field.","exampleUseCases":[{"title":"Audit transcript minute discrepancies","prompt":"I have 50 rows of transcript preparation data with transcribed_minutes and source_minutes for each session — can you run the string normalization and adjacent row change reports on them so I can spot where values shift unexpectedly between rows?"},{"title":"Quality check document group batches","prompt":"We have multiple document groups with dates ranging through October 2026 and up to 120 rows of transcript records — please analyze the source_minutes field for string normalization issues and adjacent row changes across all groups."},{"title":"Sequential change detection for transcription pipeline","prompt":"Before we finalize our transcription pipeline output, can you run both the normalization and adjacent-row-change reports on our 80-row batch of transcribed_minutes values grouped by project-x and project-y to catch any inconsistencies?"}],"resultDescription":"Returns two analytical reports based on the supplied rows: (1) a string normalization report identifying formatting or value inconsistencies in the selected field (transcribed_minutes or source_minutes), and (2) an adjacent row changes report highlighting where consecutive rows show significant changes in the specified numeric field, grouped by document_group and ordered by date.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, date, document_group) causes rejection","Invalid date format (non YYYY-MM-DD) fails schema validation","Null values in both transcribed_minutes and source_minutes may reduce report quality","Submitting fewer than 1 row returns an error"],"whenToPreferThis":"Choose this endpoint when you need batch transcript preparation quality checks — specifically string normalization and sequential/adjacent row change detection — on up to 200 rows of timestamped transcription records. It is ideal for QA steps in transcription pipelines where you want two analytical views (normalization + change detection) at low cost without external lookups or live data requirements.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T19:17:28.793Z","isFirstParty":false,"canonicalSlug":"transcript-preparation-string-normalisation-adjacent-row-changes-687f265f"}