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Transcript Preparation — Secondary-Measure Weighted Mean + Keyed Dataset Comparison
x402
Transcript Preparation — Secondary-Measure Weighted Mean + 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 2026-10-29).
Computes a secondary-measure weighted mean and performs a keyed dataset comparison on up to 200 transcript preparation records (transcribed_minutes, source_minutes), returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transcript preparation — Secondary-measure weighted mean + Keyed dataset comparison: Secondary-measure weighted mean + 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 analytical reports: (1) a secondary-measure weighted mean computed over the selected field (transcribed_minutes or source_minutes) using the other measure as weight, broken down by document_group or overall; (2) a keyed dataset comparison between the primary rows and the other dataset, identifying matches, mismatches, and differences by row_id key. All analysis is performed locally on the supplied data with no external lookups.
Example use cases
Transcription accuracy audit across vendors
“I have 150 rows of transcript records from two different transcription vendors, each with a row_id, document_group, date, transcribed_minutes, and source_minutes. Can you compute the weighted mean of transcribed_minutes using source_minutes as the weight, and compare the two vendor datasets side by side by key?”
Monthly transcript QA between draft and final
“Here are my draft and final transcript logs for October — each row has a document_group, date, source_minutes, and transcribed_minutes. Please run a secondary-measure weighted mean on source_minutes and a keyed comparison between the draft and final sets so I can see where they diverge.”
Document group efficiency benchmarking
“I want to benchmark transcription efficiency across my document groups. I have two batches of records with transcribed_minutes and source_minutes — can you compute the weighted mean of transcribed_minutes and compare the two batches using the row_id as the key?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-writing-12-186?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a secondary-measure weighted mean AND a keyed dataset comparison on transcript preparation data (transcribed_minutes, source_minutes) in a single call. It is ideal for comparing two batches of transcript records by row key while also computing a weighted aggregate, all from supplied data without any external lookups or live data dependencies. At $0.01 USDC for two reports on up to 200 rows, it is cost-effective for batch transcript QA workflows.
Side effects
- Input array exceeds 200 rows — rejected with validation error
- Missing required fields (row_id, document_group, date, transcribed_minutes, source_minutes) — row-level validation failure
- Invalid date format (not YYYY-MM-DD) — schema validation rejection
- All values for the weighted field are null — weighted mean cannot be computed
- Mismatched row_ids between rows and other datasets — keyed comparison returns empty matches
- Numeric values outside allowed range — schema rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array |
Tags
x402
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