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Training Example Metadata — CSV Cell Length Audit
x402
Training Example Metadata — CSV Cell Length Audit is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-12).
Validates cell lengths in a CSV training dataset, checking each cell against configurable min/max thresholds and allowed category values, up to 1000 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Training example metadata — Cell length audit: Cell length audit for Training example metadata. Validate a declared CSV table contract, up to 1000 rows. Quoted cells supported; no external enrichment. Specialised preset in a shared 50-profile, 20-operation engine. 0.01 USDC includes one CSV cell length audit report.
Output
Returns a cell length audit report for the submitted CSV training data, identifying cells that violate the configured minimum or maximum length thresholds, flagging disallowed category values, and summarizing compliance across up to 1000 rows.
Example use cases
ML training data quality gate
“I have a CSV of training examples with labels and text lengths — can you audit it for cell length violations, flag anything over 200 characters, and make sure the label column only contains 'positive', 'negative', or 'neutral'?”
Pre-upload dataset contract check
“Before I upload this training CSV to our pipeline, audit every cell to make sure nothing exceeds 1000 characters, use a semicolon as the delimiter, and only accept 'cat-a', 'cat-b', and 'cat-c' as valid category values.”
Automated data validation in a pipeline
“As part of our nightly data pipeline, run a cell length audit on today's training export CSV — comma-delimited, max cell length 300, and flag any rows where the category isn't in the list: 'type-1', 'type-2', 'type-3'.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-csv-training-data-length?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to validate cell-level length constraints in a CSV training dataset, especially when enforcing a declared schema contract with specific max character limits and allowed category values. Ideal for ML data pipelines that need lightweight, offline (no external enrichment) quality checks before ingesting training examples.
Side effects
- CSV exceeds 100,000 character limit — request rejected
- More than 1000 rows submitted — only first 1000 processed or error returned
- Invalid delimiter specified — must be comma, semicolon, or tab
- max_cell_length out of range (must be 1–5000) — validation error
- Malformed CSV that cannot be parsed — parse error returned
- Empty CSV string submitted — minimum length violation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| csv | string | |
| maximum | number | |
| minimum | number | |
| delimiter | string | |
| max_cell_length | integer | |
| allowed_categories | array |
Tags
x402
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