{"uid":"cap_5L4rGFxkKcvEwdbyxb9-W","slug":"interview-transcripts-string-normalisation-base-100-series-6d91c3be","name":"Interview Transcripts — String Normalisation + Base-100 Series","description":"Interview transcripts — String normalisation + Base-100 series: String normalisation + Base-100 series for supplied interview transcripts records (transcript_words, audio_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-news-12-030?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","channel_group","date","transcript_words","audio_minutes"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"audio_minutes":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"channel_group":{"type":"string","default":"","maxLength":80},"transcript_words":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","audio_minutes":1,"channel_group":"group-a","transcript_words":10},{"date":"2026-10-02","row_id":"row-2","audio_minutes":2,"channel_group":"group-b","transcript_words":20},{"date":"2026-10-03","row_id":"row-3","audio_minutes":3,"channel_group":"group-a","transcript_words":15},{"date":"2026-10-04","row_id":"row-4","audio_minutes":4,"channel_group":"group-b","transcript_words":30}],"maxItems":200,"minItems":1},"field":{"enum":["transcript_words","audio_minutes"],"type":"string","default":"transcript_words"},"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_9JT8T8E-VW-_b7G3OFgRj","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":"Performs string normalisation and Base-100 indexing analysis on up to 200 rows of interview transcript data (transcript_words and audio_minutes), returning two analytical reports.","exampleAgentPrompt":"Can you run a string normalisation and Base-100 series report on my interview transcript data? I have 4 rows: row-1 on 2026-10-01 (group-a, 1500 transcript_words, 12 audio_minutes), row-2 on 2026-10-02 (group-b, 2200 words, 18 minutes), row-3 on 2026-10-03 (group-a, 1800 words, 15 minutes), row-4 on 2026-10-04 (group-b, 3000 words, 25 minutes) — use transcript_words as the field and row index 0 as the base.","exampleUseCases":[{"title":"Benchmark transcript length across interview rounds","prompt":"I have 10 interview sessions from two channel groups — can you normalise the transcript word counts and create a Base-100 series using the first session as the baseline, so I can see how transcript length changed across rounds?"},{"title":"Audit audio duration trends by channel group","prompt":"Please run a Base-100 index analysis on my interview audio_minutes data across 8 rows split between group-a and group-b, starting from index 0, so I can compare recording duration trends between the two groups."},{"title":"Standardise mixed-quality transcript records","prompt":"I've got interview transcript records with inconsistent word counts and some nulls — can you apply string normalisation and produce a Base-100 series for the transcript_words field across all 15 rows so I can identify anomalies?"}],"resultDescription":"Returns two analytical reports: (1) a string normalisation report standardising transcript metric values across supplied rows, and (2) a Base-100 index series for the chosen field (transcript_words or audio_minutes), rebased to the specified row index. All processing is performed locally with no external lookups.","failureModes":["Empty or missing rows array returns a validation error","Rows array exceeding 200 items is rejected","Invalid date format (not YYYY-MM-DD) causes schema validation failure","Null values for both transcript_words and audio_minutes in all rows may yield degenerate output","base_index referencing a non-existent row position causes an out-of-range error","Unsupported field enum value causes schema rejection"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of interview transcript records and need both string normalisation and Base-100 indexed series computed together in a single cost-effective call ($0.01 USDC for both reports). Ideal for offline/batch analytical workflows where no live data lookup, prediction, or external enrichment is needed — purely local computation on your supplied data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T12:52:12.591Z","isFirstParty":false,"canonicalSlug":"interview-transcripts-string-normalisation-base-100-series-6d91c3be"}