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Training Attendance String Normalisation
x402
Training Attendance String Normalisation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-27).
Normalises and cleans string fields in training attendance records (course names, dates, attendee and completion counts) for up to 200 rows per call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Training attendance - String normalisation: String normalisation for Training attendance. Up to 200 supplied typed records. Local numeric and data-quality processing; no external enrichment or forecasting. One of 25 profiles or calculations across 20 shared operations in this sector. 0.01 USDC includes one bounded string normalisation deliverable.
Output
Returns up to 200 normalised training attendance records with cleaned and standardised string fields, corrected date formats, and validated numeric attendee and completion counts, along with any data-quality flags or corrections applied per row.
Example use cases
LMS data cleaning before reporting
“I've exported 150 rows from our LMS with inconsistent course names and some malformed dates — can you normalise all the string fields in these training attendance records so they're clean and consistent before I run my monthly report?”
HR training compliance data prep
“Our HR team has attendance data for compliance training with mixed-case course names, some null completion counts, and a few bad date formats. Can you clean and normalise up to 80 of these records so we can load them into our compliance dashboard?”
Batch fix messy workshop records
“I have a CSV of workshop attendance records — about 60 rows — where the course field has loads of typos and inconsistent formatting. Can you run string normalisation on them so the course names and dates are all standardised?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-analytics-training-attendance-normalise?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need lightweight, local string normalisation and data-quality cleaning specifically for training attendance records (course names, dates, attendee/completion counts) without requiring external enrichment or forecasting. It is ideal for pre-processing LMS exports, HR compliance data, or workshop logs before loading into analytics systems, and handles batches of up to 200 rows per call at very low cost.
Side effects
- Submitting more than 200 rows returns a validation error
- Rows missing required fields (row_id, course, date, attendees, completions) are rejected
- Dates not matching YYYY-MM-DD pattern cause row-level validation failure
- Numeric values outside the allowed range trigger schema validation errors
- Empty row arrays are rejected with a minItems violation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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