{"uid":"cap_CbjPlYaZgFSI2IF22USMr","slug":"interview-transcripts-record-quality-audit-date-by-category-pivot-4297606c","name":"Interview Transcripts — Record Quality Audit + Date by Category Pivot","description":"Interview transcripts — Record quality audit + Date by category pivot: Record quality audit + Date by category pivot 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-12-017?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"}}},"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_HNhOywyaJRsOMwTwBLI-a","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 two analytical reports on interview transcript data: a record quality audit and a date-by-category pivot, for up to 200 rows.","exampleAgentPrompt":"Can you run a record quality audit and a date-by-category pivot on my interview transcript data? I have rows with fields like row_id, channel_group, date, transcript_words, and audio_minutes — up to 200 rows — and I want to analyze transcript_words as the main metric.","exampleUseCases":[{"title":"Transcript data quality check","prompt":"I have a batch of interview transcript records with columns for row_id, channel_group, date, transcript_words, and audio_minutes. Can you audit them for record quality issues and also give me a pivot of transcript_words broken down by date and channel group?"},{"title":"Audio minutes category breakdown","prompt":"Run a date-by-category pivot and a quality audit on my interview session records — I want to see audio_minutes grouped by date and channel group, and flag any rows with bad or missing data. Here are up to 150 rows."},{"title":"Research interview dataset validation","prompt":"I've collected interview transcripts from two groups across several weeks. Can you check the dataset for record quality problems and pivot the transcript_words counts by date and channel group so I can see patterns?"}],"resultDescription":"Returns two independent analytical reports: (1) a record quality audit identifying issues such as missing values, nulls, or anomalies across the supplied rows, and (2) a date-by-category pivot summarizing the chosen metric (transcript_words or audio_minutes) grouped by date and channel_group. Both reports are computed locally with no external lookups.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required fields (row_id, channel_group, date, transcript_words, audio_minutes) in one or more rows — validation error","Date field does not match YYYY-MM-DD pattern — schema validation failure","Invalid field enum value (not 'transcript_words' or 'audio_minutes') — rejected","Empty rows array — error response","Numeric values outside allowed bounds — schema rejection"],"whenToPreferThis":"Choose this endpoint when you need both a data quality audit and a date-by-category pivot on interview transcript records in a single low-cost call. It is ideal for validating transcript datasets before downstream processing and for getting a grouped temporal summary by channel. 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":"2026-10-23T12:47:41.506Z","isFirstParty":false,"canonicalSlug":"interview-transcripts-record-quality-audit-date-by-category-pivot-4297606c"}