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Prediction Result Imports — CSV Located Error Report
x402
Prediction Result Imports — CSV Located Error Report 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 a CSV table of prediction result imports and returns a located error report identifying cell-level issues, supporting up to 1000 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Prediction result imports — Located error report: Located error report 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 located error report report.
Output
A located error report that identifies specific cells in the submitted CSV that fail validation, including their position (row/column), the invalid value found, and the nature of the violation (e.g. out-of-range numeric, disallowed category, cell too long). Covers up to 1000 rows with quoted cell support.
Example use cases
Validate model prediction batch upload
“I've got a CSV of prediction results I want to import — can you check it for cell-level errors before I upload it? The file uses comma delimiters, allowed categories are group-a and group-b, and probability should be between 0 and 1.”
QA check on ML pipeline output CSV
“Our ML pipeline just exported a predictions CSV with columns for prediction_id, model_id, probability, and latency_ms — can you run a located error report on it to catch any bad cells? Allowed model groups are group-a, group-b, and group-c, values should be between 0 and 100.”
Pre-import data quality audit
“Before we import this semicolon-delimited prediction results file into our system, can you scan it for any cell errors and tell me exactly where the problems are? Categories should only be tier-1 or tier-2, and probability values must stay between 0.0 and 1.0.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-csv-predictions-cell-errors?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need cell-level, located error reporting for prediction result CSV imports specifically — it pinpoints exactly which cells are invalid rather than returning a simple pass/fail. Best suited for pre-import QA pipelines where you need to surface actionable row/column error positions. Prefer this over generic CSV validators when your data includes numeric probability bounds, categorical model group constraints, and ML prediction-specific columns.
Side effects
- CSV exceeds 100,000 character limit — request rejected
- More than 1000 rows submitted — validation may be truncated or rejected
- Invalid delimiter specified — must be comma, semicolon, or tab
- Malformed CSV structure — unmatched quotes or inconsistent columns
- Empty CSV submitted — minimum length of 1 character required
- Cell exceeds max_cell_length limit — flagged as error or rejected
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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