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Transcript Preparation: IQR Outlier Flags + Keyed Dataset Comparison
x402
Transcript Preparation: IQR Outlier Flags + Keyed Dataset Comparison is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-25).
Runs IQR-based outlier detection and keyed dataset comparison on transcript preparation records (transcribed_minutes, source_minutes) for up to 200 rows, returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transcript preparation — IQR outlier flags + Keyed dataset comparison: IQR outlier flags + Keyed dataset comparison 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 independent reports: (1) an IQR outlier flag report identifying which rows have values outside the interquartile range for the selected field, and (2) a keyed dataset comparison report showing differences between the primary and reference datasets matched by row_id. Both reports are based solely on supplied data with no external lookups.
Example use cases
Audit transcription accuracy across sessions
“I have 80 rows of transcript prep records with transcribed_minutes and source_minutes for each session — can you run IQR outlier detection on the transcribed_minutes field and compare them against my reference dataset to find sessions that look off?”
QA check for podcast episode transcripts
“Here are 120 podcast episode records with transcribed_minutes and source_minutes — please flag any IQR outliers in source_minutes and run a keyed comparison against last month's records so I can spot discrepancies before publishing.”
Meeting minutes data quality review
“I need to validate our meeting transcription data — run IQR outlier flags and a keyed dataset comparison on these 40 rows grouped by document_group, analyzing the transcribed_minutes field against the source_minutes reference values.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-writing-12-179?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need local, deterministic statistical analysis on transcript preparation records with both outlier detection and dataset comparison in a single call. It is ideal for data quality audits of transcription workflows where you have two datasets to compare by key and want IQR-based flagging without any external lookup or ML prediction. At $0.01 for two reports on up to 200 rows, it is cost-effective for batch QA of transcription pipelines.
Side effects
- Fewer than 1 row supplied — request rejected
- More than 200 rows supplied — exceeds maximum limit
- Missing required fields (row_id, document_group, date, transcribed_minutes, source_minutes) — validation error
- Invalid date format (must be YYYY-MM-DD) — schema validation failure
- Null values in numeric fields may affect IQR calculation output
- row_id mismatch between primary and comparison dataset — keyed comparison may return empty matches
- Payment of 0.01 USDC not completed — 402 Payment Required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array |
Tags
x402
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