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Transcript Preparation — IQR Outlier Flags + Two-Measure Correlation
x402
Transcript Preparation — IQR Outlier Flags + Two-Measure Correlation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-26).
Runs IQR-based outlier detection and Pearson/Spearman correlation analysis on up to 200 transcript preparation records with transcribed_minutes and source_minutes fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transcript preparation — IQR outlier flags + Two-measure correlation: IQR outlier flags + Two-measure correlation for supplied transcript preparation records (transcribed_minutes, source_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.
Output
Returns two analytical reports for the submitted rows: (1) IQR outlier flags identifying which rows have transcribed_minutes or source_minutes values outside the interquartile range, and (2) a two-measure correlation report quantifying the statistical relationship between transcribed_minutes and source_minutes across all supplied records.
Example use cases
Transcription QA outlier audit
“I have 80 rows of transcription logs with columns row_id, document_group, date, source_minutes, and transcribed_minutes. Can you flag any outliers using IQR on the transcribed_minutes field and also show me how strongly transcribed_minutes correlates with source_minutes?”
Multi-group transcript duration review
“We have transcript records across two document groups — 'legal' and 'medical' — spanning dates in October 2025. Can you analyze up to 120 of these rows for IQR-based outliers in source_minutes and calculate the two-measure correlation between transcribed_minutes and source_minutes?”
Catching bad transcription submissions
“Before I process payment for these 60 vendor transcription submissions, can you run IQR outlier detection and a correlation check on the transcribed_minutes vs source_minutes columns so I can spot any suspicious entries?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-writing-12-176?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have a batch of transcript preparation records (up to 200 rows) and need both IQR-based outlier detection and a two-measure correlation report in a single low-cost call. It is purpose-built for transcription workflow QA — specifically for the transcribed_minutes and source_minutes pair — making it more targeted than generic statistics APIs. At $0.01 USDC for both reports simultaneously, it is cost-efficient for routine transcript auditing pipelines.
Side effects
- Fewer than 1 row supplied — minItems violation returns validation error
- More than 200 rows supplied — maxItems limit exceeded
- Missing required fields (row_id, date, transcribed_minutes, source_minutes) cause schema rejection
- Malformed date strings not matching YYYY-MM-DD pattern rejected
- All null values in a numeric field may prevent meaningful IQR or correlation computation
- Invalid field enum value outside [transcribed_minutes, source_minutes] rejected
- Payment of less than 0.01 USDC results in request rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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