{"uid":"cap_xjNCG3NPpCjd62-jGhSOI","slug":"interview-transcripts-string-normalisation-two-measure-correlation-5b38c037","name":"Interview Transcripts — String Normalisation + Two-Measure Correlation","description":"Interview transcripts — String normalisation + Two-measure correlation: String normalisation + Two-measure correlation 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-12-033?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}}},"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_0enObI35nQwAER-ccI5BQ","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 transcript_words strings and computes correlation between transcript_words and audio_minutes across up to 200 interview transcript rows, returning two independent analytical reports.","exampleAgentPrompt":"Can you normalize the transcript word counts and compute the correlation between transcript_words and audio_minutes for my interview dataset? I have 4 rows: row-1 on 2026-10-01 in group-a with 10 words and 1 minute, row-2 on 2026-10-02 in group-b with 20 words and 2 minutes, row-3 on 2026-10-03 in group-a with 15 words and 3 minutes, and row-4 on 2026-10-04 in group-b with 30 words and 4 minutes.","exampleUseCases":[{"title":"Transcript efficiency by interview channel","prompt":"I have 50 interview records across two channel groups — can you normalize the transcript word strings and tell me how strongly audio_minutes correlates with transcript_words for each row? Here's the data: row-1, group-a, 2026-09-01, 340 words, 4.5 minutes; row-2, group-b, 2026-09-02, 120 words, 1.2 minutes..."},{"title":"QA check on transcription output accuracy","prompt":"We just processed a batch of 80 candidate interviews and I want to verify that audio length and transcript word count are moving together as expected — can you run string normalization on the transcript_words and compute the correlation between transcript_words and audio_minutes across all rows?"},{"title":"Comparing word density across interview dates","prompt":"I have interview transcript records from October 2026 across groups A and B — can you normalize the word count strings and give me a two-measure correlation report between transcript_words and audio_minutes so I can see which group is more verbally dense per minute?"}],"resultDescription":"Two independent analytical reports: (1) normalised string values for transcript_words across all submitted rows, and (2) a two-measure correlation result between transcript_words and audio_minutes. No external lookups or predictions are made; all analysis runs on the supplied data locally.","failureModes":["More than 200 rows submitted — request rejected with row limit error","Missing required fields (row_id, date, transcript_words, audio_minutes) cause validation failure","Invalid date format (not YYYY-MM-DD) triggers pattern validation error","Null values in both transcript_words and audio_minutes may degrade or prevent correlation computation","Fewer than 2 rows may make correlation statistically meaningless or return an error"],"whenToPreferThis":"Choose this endpoint when you have tabular interview transcript data with word counts and audio durations and need both string normalisation and a statistical correlation between those two measures in a single call. It is purpose-built for interview transcript analytics (not general-purpose statistics), handles up to 200 rows per call, requires no external data sources, and costs only $0.01 USDC for both reports together.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:34:08.023Z","isFirstParty":false,"canonicalSlug":"interview-transcripts-string-normalisation-two-measure-correlation-5b38c037"}