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Prediction Result Imports — CSV Whitespace Audit
x402
Prediction Result Imports — CSV Whitespace Audit is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).
Validates whitespace formatting in a CSV file containing prediction result data, auditing up to 1000 rows for whitespace issues in cells.
Price / call$0.01
Success—
StatusUnknown
How this service works
Prediction result imports — Whitespace audit: Whitespace audit for Prediction result imports. 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 whitespace audit report.
Output
A structured whitespace audit report for the submitted CSV, identifying cells or rows with leading/trailing whitespace, unexpected spacing, or formatting violations, covering up to 1000 rows of prediction result data with quoted cell support.
Example use cases
Pre-import data quality check
“Before I import my ML model prediction results, can you audit this CSV for whitespace problems? It's comma-delimited with columns prediction_id, predicted_on, model_id, probability, latency_ms — max cell length 1000, and valid model categories are group-a, group-b, and group-c.”
Probability range and whitespace validation
“I have a prediction export CSV and I need to check it for whitespace issues — probabilities should be between 0 and 1, categories allowed are model-x and model-y, delimiter is a semicolon, and max cell length is 200. Can you run a whitespace audit on it?”
Tab-delimited prediction file audit
“Can you whitespace-audit my tab-delimited prediction results file? It has prediction IDs, dates, model groups, and probability scores. Allowed categories are alpha and beta, cell length max is 500, and numeric values should be between 0 and 100.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-csv-predictions-whitespace?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a focused, low-cost whitespace-only audit of a CSV file containing prediction result imports (with columns like prediction_id, predicted_on, model_id, probability, latency_ms). It is purpose-built for the prediction results domain with a specialized preset, supports quoted cells, and costs only $0.01 USDC per call. Prefer it over generic CSV validators when you specifically need whitespace validation for ML prediction output files with categorical and numeric range constraints.
Side effects
- CSV exceeds 100,000 character limit — request rejected
- CSV has fewer than 1 character — minimum length validation fails
- Delimiter not one of comma, semicolon, or tab — schema error
- More than 100 allowed_categories specified — validation error
- max_cell_length outside range 1–5000 — schema error
- Malformed CSV that cannot be parsed — parsing error returned
- Numeric bounds (minimum/maximum) outside allowed range — schema error
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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