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Prediction Result Imports — Numeric Range Check
x402
Prediction Result Imports — Numeric Range Check is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-16).
Validates numeric values in a CSV of prediction results to ensure all figures fall within a declared minimum-maximum range.
Price / call$0.01
Success—
StatusUnknown
How this service works
Prediction result imports — Numeric range check: Numeric range check 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 numeric range check report.
Output
A CSV numeric range check report indicating whether all numeric cells in the supplied prediction results CSV fall within the declared minimum and maximum bounds, highlighting any out-of-range values found across up to 1000 rows.
Example use cases
ML model output probability audit
“I have a CSV of model prediction outputs with a probability column that should only contain values between 0 and 1 — can you validate it and flag any rows that fall outside that range? The file is comma-delimited and has up to 800 rows.”
Latency threshold compliance check
“My prediction export CSV has a latency_ms column and I need to make sure no value exceeds 10000 milliseconds — can you run a numeric range check with minimum 0 and maximum 10000 on it?”
Pre-import data contract validation
“Before I import these prediction results into our warehouse, I need to confirm all numeric fields stay within the declared contract range of -1000 to 1000000 — can you validate this semicolon-delimited CSV for me?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-csv-predictions-ranges?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a lightweight, purpose-built numeric range validation pass on a prediction results CSV — specifically when you want to confirm that numeric columns like probabilities, scores, or latency figures comply with a declared min/max contract before importing or processing. It is ideal for pre-import data quality gates on ML model outputs, where you need a fast, inexpensive ($0.01 USDC) structured report without external enrichment or schema inference overhead.
Side effects
- CSV exceeds 1000 row limit — validation rejected
- CSV string exceeds 100,000 character maxLength — rejected
- Minimum value greater than maximum value — invalid range contract
- Unsupported delimiter supplied outside of comma, semicolon, or tab — rejected
- Cell length exceeds max_cell_length limit — parsing error
- Malformed or unquoted CSV causing parse failures
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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