{"uid":"cap_sMRePaIBJfIZuNDgJ3ZmP","slug":"transcript-preparation-record-quality-audit-string-normalisation-base-3416baca","name":"Transcript Preparation — Record Quality Audit + String Normalisation + Base-100 Series","description":"Transcript preparation — Record quality audit + String normalisation + Base-100 series: Record quality audit + String normalisation + Base-100 series 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-12-201?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"},"base_index":{"type":"integer","default":0,"maximum":199,"minimum":0}}},"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_FminiyjETBFla1AO1oTY0","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 local analytical reports on transcript preparation records: record quality audit, string normalisation, and base-100 index series — for up to 200 rows of transcribed_minutes and source_minutes data.","exampleAgentPrompt":"Can you run the record quality audit, string normalisation, and base-100 series reports on my transcript preparation data? I have 4 rows — row-1 on 2026-10-01 in group-a with source_minutes=1 and transcribed_minutes=10, row-2 on 2026-10-02 in group-b with source_minutes=2 and transcribed_minutes=20, row-3 on 2026-10-03 in group-a with source_minutes=3 and transcribed_minutes=15, row-4 on 2026-10-04 in group-b with source_minutes=4 and transcribed_minutes=30 — index against base row 0 using the transcribed_minutes field.","exampleUseCases":[{"title":"Quality gate before transcript ingestion","prompt":"Before we ingest these 50 transcript preparation records into the pipeline, can you run the record quality audit, string normalisation, and base-100 series on them? Use the transcribed_minutes field and set the base index to row 0 — I need to catch bad records early."},{"title":"Comparing source vs transcribed minutes drift","prompt":"I've got 120 rows of transcript data with both source_minutes and transcribed_minutes recorded across different document groups and dates. Can you run all three reports — quality audit, string normalisation, base-100 index — on them using source_minutes as the field and base index 0, so I can see where the numbers drift?"},{"title":"Monthly transcript batch review","prompt":"At the end of the month I have 80 transcript preparation rows across groups A and B. Can you audit their quality, normalise the strings, and produce a base-100 index series using transcribed_minutes starting from base index 0 so I can compare performance across the month?"}],"resultDescription":"Returns three independent analytical reports generated locally: (1) a record quality audit flagging missing values, out-of-range entries, and data integrity issues across the supplied rows; (2) a string normalisation report covering the text fields in the dataset; and (3) a base-100 index series for the selected numeric field (transcribed_minutes or source_minutes) anchored to the specified base row. All reports are computed from the supplied data with no external lookups.","failureModes":["Fewer than 1 row or more than 200 rows submitted — validation error","Invalid date format (not YYYY-MM-DD) on any row — schema validation failure","Missing required fields (row_id, document_group, date, transcribed_minutes, source_minutes) on any row — rejection","base_index out of range (0–199) or pointing beyond the number of rows — index error","Null values in both transcribed_minutes and source_minutes for a row — may produce incomplete quality audit","Payment not included or insufficient — x402 payment required response"],"whenToPreferThis":"Choose this endpoint when you need three bundled analytical passes — quality audit, string normalisation, and base-100 indexing — on transcript preparation records in a single low-cost call. It is ideal for pre-ingestion data validation pipelines, monthly batch reviews, or any workflow where transcribed_minutes and source_minutes need to be checked for integrity and indexed together. It operates entirely on supplied data with no external dependencies, making it fast and deterministic.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T12:32:05.124Z","isFirstParty":false,"canonicalSlug":"transcript-preparation-record-quality-audit-string-normalisation-base-3416baca"}