{"uid":"cap_adVs2XA7z2RkJgVleuiro","slug":"transcript-preparation-string-normalisation-explicit-missing-value-fill-06cebf60","name":"Transcript Preparation — String Normalisation + Explicit Missing-Value Fill","description":"Transcript preparation — String normalisation + Explicit missing-value fill: String normalisation + Explicit missing-value fill 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-12-037?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"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"}}},"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_j2ikmWKuyD9Cbys6cy3fF","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":"Normalises string fields and fills missing values in transcript preparation records containing transcribed_minutes and source_minutes, producing two analytical reports for up to 200 rows.","exampleAgentPrompt":"Can you clean up my transcript preparation records — normalise the strings and fill any missing transcribed_minutes values using the median method? I have 4 rows: row-1 on 2026-10-01 group-a with source_minutes 1 and transcribed_minutes 10, row-2 on 2026-10-02 group-b source_minutes 2 transcribed_minutes null, row-3 on 2026-10-03 group-a source_minutes 3 transcribed_minutes 15, row-4 on 2026-10-04 group-b source_minutes 4 transcribed_minutes 30.","exampleUseCases":[{"title":"Impute missing transcribed minutes for quality check","prompt":"I have 50 transcript records with some null transcribed_minutes values — can you normalise the strings and fill those missing entries using the median, then give me the two reports?"},{"title":"Zero-fill missing source minutes before pipeline","prompt":"Before I run my transcription pipeline, I need to clean these 120 rows of transcript data — please normalise everything and fill any missing source_minutes values with zero."},{"title":"Mean imputation for document group comparison","prompt":"Can you prepare my transcript records across document groups A and B by normalising the string fields and filling any missing transcribed_minutes with the mean? I have about 80 rows dated from 2026-09-01 onward."}],"resultDescription":"Returns two independent analytical reports per call: one covering string normalisation of the transcript fields (transcribed_minutes, source_minutes) and one covering explicit missing-value fill results, applied to the supplied rows (up to 200). No external lookups or live data are performed — all analysis uses local engines on the submitted data.","failureModes":["More than 200 rows submitted — request rejected with validation error","Missing required fields (row_id, date, document_group) — row-level or request-level error","Invalid date format (not YYYY-MM-DD) — schema validation failure","Invalid method enum value (not zero/mean/median) — rejected","Invalid field enum value (not transcribed_minutes/source_minutes) — rejected","Empty rows array — rejected by minItems:1 constraint"],"whenToPreferThis":"Choose this endpoint when you need lightweight, low-cost ($0.01 USDC) offline data preparation for transcript records specifically containing transcribed_minutes and source_minutes fields — particularly when you need both string normalisation and missing-value imputation in a single call with two bundled reports. It is ideal for pre-pipeline data cleaning without requiring any external lookup or prediction service.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T12:33:46.156Z","isFirstParty":false,"canonicalSlug":"transcript-preparation-string-normalisation-explicit-missing-value-fill-06cebf60"}