{"uid":"cap_XJ79-gBPL0G9E6ihzeHDX","slug":"interview-transcripts-category-frequencies-keyed-dataset-comparison-61b94ce8","name":"Interview Transcripts — Category Frequencies + Keyed Dataset Comparison","description":"Interview transcripts — Category frequencies + Keyed dataset comparison: Category frequencies + Keyed dataset comparison 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-12-111?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}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"audio_minutes":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"channel_group":{"type":"string","default":"","maxLength":80},"transcript_words":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","audio_minutes":1,"channel_group":"group-a","transcript_words":10},{"date":"2026-10-02","row_id":"row-2","audio_minutes":2,"channel_group":"group-b","transcript_words":20},{"date":"2026-10-03","row_id":"row-3","audio_minutes":3,"channel_group":"group-a","transcript_words":15},{"date":"2026-10-04","row_id":"row-4","audio_minutes":4,"channel_group":"group-b","transcript_words":30}],"maxItems":200,"minItems":1},"other":{"type":"array","items":{"type":"object","required":["row_id","channel_group","date","transcript_words","audio_minutes"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","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":21},{"date":"2026-10-03","row_id":"row-3","audio_minutes":3,"channel_group":"group-a","transcript_words":17},{"date":"2026-10-04","row_id":"row-4","audio_minutes":4,"channel_group":"group-b","transcript_words":33}],"maxItems":200,"minItems":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_cdMOz-yzMPhxFw2o_4Q1b","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 interview transcript records to produce category frequency distributions and a keyed comparison between two supplied datasets, up to 200 rows each.","exampleAgentPrompt":"I have two batches of interview transcript records — each has row IDs, channel groups, dates, word counts, and audio minutes — can you run a category frequency breakdown on the first batch and then compare it row-by-row against the second batch? The first batch has entries like row-1 on 2026-10-01 in group-a with 10 words and 1 minute, and the second has the same rows with slightly different word counts.","exampleUseCases":[{"title":"Compare two interview recording rounds","prompt":"I ran interviews in two separate rounds and have transcript records for each — same row IDs, same channel groups, but different word counts and audio durations. Can you generate a category frequency summary for round one and then do a keyed comparison between round one and round two to see where the numbers diverged?"},{"title":"Channel group frequency audit for transcripts","prompt":"I have up to 150 interview transcript records with fields for channel group, date, transcript word count, and audio minutes. Can you give me a frequency breakdown by channel group for this dataset, and also compare it against my baseline dataset that has the same row IDs?"},{"title":"Validate consistency across two transcript exports","prompt":"We exported the same interview session data from two different systems and I want to make sure they're consistent — can you run a category frequency report on the first export and a keyed row-by-row comparison against the second export? Each row has a row_id, channel_group, date, transcript_words, and audio_minutes."}],"resultDescription":"Returns two independent analytical reports: (1) a category frequency report showing how often each channel_group appears and distributional statistics for transcript_words and audio_minutes across the supplied rows dataset; (2) a keyed dataset comparison report matching rows by row_id between the primary and secondary datasets, highlighting differences in transcript_words, audio_minutes, channel_group, and date values. No external lookups or predictions are made — all analysis uses local engines on the supplied data.","failureModes":["Exceeds 200-row limit — request will be rejected or truncated","Missing required fields (row_id, channel_group, date, transcript_words, audio_minutes) cause validation errors","Date fields not matching YYYY-MM-DD pattern will fail schema validation","row_id values in 'other' dataset not matching 'rows' dataset will limit keyed comparison coverage","Null numeric values may affect statistical computations","Payment of 0.01 USDC not completed causes 402 rejection"],"whenToPreferThis":"Choose this endpoint when you have structured interview transcript records with numeric measures (word count, audio duration) and categorical groupings, and need both a frequency distribution summary and a side-by-side keyed comparison between two versions or batches of that data — all in a single $0.01 call covering up to 200 rows. Prefer it over general-purpose analytics when your data schema exactly matches transcript_words + audio_minutes + channel_group + date + row_id.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:33:22.402Z","isFirstParty":false,"canonicalSlug":"interview-transcripts-category-frequencies-keyed-dataset-comparison-61b94ce8"}