{"uid":"cap_U70A_FFPMqvsrH2tvXd2I","slug":"interview-transcripts-adjacent-row-changes-date-by-category-pivot-933f4275","name":"Interview Transcripts — Adjacent Row Changes + Date by Category Pivot","description":"Interview transcripts — Adjacent row changes + Date by category pivot: Adjacent row changes + 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-12-160?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_8H4_Nf56S4kWcX8BR8UqH","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":"Computes adjacent-row change analysis and a date-by-category pivot table for up to 200 interview transcript records containing word counts and audio duration metrics.","exampleAgentPrompt":"I have 4 interview transcript records with word counts and audio minutes — can you run adjacent row change analysis and a date-by-category pivot on them? The rows are: 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 — use transcript_words as the field.","exampleUseCases":[{"title":"Interviewer productivity trend analysis","prompt":"I have a dataset of 50 interview sessions across two channel groups over the past month — can you compute the row-over-row changes in transcript_words and give me a pivot of word counts by date and channel group so I can spot productivity trends?"},{"title":"Podcast audio duration comparison","prompt":"Here are 120 podcast interview records with audio_minutes and transcript_words for each episode across three channel groups — run adjacent row changes and a date-by-category pivot on the audio_minutes field so I can see how episode length is shifting over time."},{"title":"QA team interview consistency check","prompt":"Our QA team completed 80 interviews across two groups last quarter — I have the transcript word counts and audio durations for each. Can you show me the adjacent row differences and a date-grouped pivot on transcript_words to check if interview length is staying consistent?"}],"resultDescription":"Two analytical reports: (1) an adjacent row changes table showing sequential differences in the selected metric (transcript_words or audio_minutes) between consecutive records; and (2) a date-by-category pivot table aggregating the selected metric across channel groups by date. Both reports are computed locally from the supplied rows with no external data access.","failureModes":["Missing required fields (row_id, channel_group, date, transcript_words, audio_minutes) returns a validation error","Date values not matching YYYY-MM-DD format are rejected","Submitting more than 200 rows exceeds the row limit and is rejected","Submitting fewer than 1 row returns a validation error","Null values in the selected metric field may produce null or skipped entries in the change calculations"],"whenToPreferThis":"Choose this endpoint when you have interview transcript records with word counts and audio duration and need both sequential (row-over-row) change analysis and a date-by-category pivot in a single low-cost call. It is ideal for offline/batch analytical workflows on pre-collected data with no need for live lookup or real-time enrichment. Best suited when your dataset is up to 200 rows and you want two complementary reports — trend and pivot — at once.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T12:50:21.436Z","isFirstParty":false,"canonicalSlug":"interview-transcripts-adjacent-row-changes-date-by-category-pivot-933f4275"}