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Training Example Metadata — Valid Row Export
x402
Training Example Metadata — Valid Row Export is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-24).
Validates a CSV file of training example metadata and exports only the rows that pass all declared column constraints, up to 1000 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Training example metadata — Valid row export: Valid row export 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 valid row export report.
Output
A valid row export report containing only the CSV rows that pass all declared constraints — including numeric range checks, category allowlist filtering, and cell length limits — covering up to 1000 rows of the input CSV.
Example use cases
Pre-training dataset quality gate
“I have a CSV of labeled training examples with columns example_id, created_on, label, text_length, and sample_weight. Can you validate it and export only the rows where label is one of 'cat', 'dog', or 'bird', numeric values are between 0 and 500, and cell length doesn't exceed 500 characters? Use comma as the delimiter.”
Allowlist-filtered ML label export
“Before I feed this dataset into my classifier, can you check my training CSV and pull out only the rows that have valid category labels from this list: ['positive', 'negative', 'neutral']? Numeric columns should be between -100 and 100, delimiter is a semicolon, and max cell length is 2000.”
Tab-delimited training data audit
“I've got a tab-separated training data file I need cleaned up — can you validate it and return only the good rows? The allowed labels are 'spam' and 'not_spam', values should stay between 0 and 1000000000000, and please cap cell length at 300 characters.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-csv-training-data-valid-rows?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to validate a CSV dataset of training examples against a declared schema contract — including numeric bounds, category allowlists, and cell length limits — and receive back only the clean, passing rows. Best suited for ML data preparation pipelines where you need a quick, affordable ($0.01) quality gate on up to 1000 rows without any external data enrichment.
Side effects
- CSV exceeds 100,000 character input limit — request rejected
- CSV has fewer than 1 valid row after filtering — empty export returned
- Delimiter mismatch causes all rows to fail parsing
- Allowed categories list is empty and no rows match — empty result
- Numeric values in CSV are non-parseable strings — those rows flagged invalid
- Cell length exceeds max_cell_length causing rows to be excluded
- Malformed quoted cells may cause parsing errors
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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