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Transcript Preparation: String Normalisation + Two-Measure Correlation
x402
Transcript Preparation: String Normalisation + 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).
Normalises transcribed and source minute strings and computes two-measure correlation across up to 200 transcript preparation rows, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transcript preparation — String normalisation + Two-measure correlation: String normalisation + 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
Two independent analytical reports per call: (1) a string normalisation report processing the transcribed_minutes and source_minutes fields, and (2) a two-measure correlation report comparing the two minute metrics across all submitted rows (up to 200). Results are computed locally with no external lookups.
Example use cases
Transcription accuracy audit for media batch
“I have 120 transcript records from last month's podcast batch, each with a row ID, document group, date, source minutes, and transcribed minutes. Can you normalise the minute strings and run a two-measure correlation so I can see how closely the transcribed durations match the originals?”
Document group correlation check
“We have two document groups — 'group-a' and 'group-b' — with 80 rows of transcript preparation data spanning October 2026. Run the string normalisation and two-measure correlation analysis on all rows and tell me which group has stronger alignment between transcribed and source minutes.”
Quality control for legal transcript preparation
“Before we finalise these 45 legal transcript records, can you normalise the transcribed_minutes and source_minutes strings and compute the two-measure correlation to flag any rows where the durations diverge significantly?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-writing-12-033?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both string normalisation and two-measure correlation computed together on transcript preparation data (transcribed_minutes vs source_minutes) in a single low-cost call. It is ideal for batch quality audits of up to 200 transcript records where no live lookup, prediction, or external data enrichment is needed — pure local analytical computation on supplied data.
Side effects
- More than 200 rows submitted — request rejected or truncated
- Missing required fields (row_id, date, transcribed_minutes, source_minutes) — validation error
- Invalid date format (must match YYYY-MM-DD pattern) — schema validation failure
- Null values in both measure fields for all rows — correlation cannot be computed
- Row_id or document_group exceeding 80-character limit — validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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