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Machine Utilisation Imports — Invalid Row Export
x402
Machine Utilisation Imports — Invalid 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 2026-10-15).
Validates a machine utilisation CSV file and exports a report of invalid rows based on configurable constraints.
Price / call$0.01
Success—
StatusUnknown
How this service works
Machine utilisation imports — Invalid row export: Invalid row export for Machine utilisation 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 invalid row export report.
Output
A report identifying all invalid rows in the submitted machine utilisation CSV, including which rows failed and why (e.g. out-of-range numeric values, disallowed category strings, malformed cells). Up to 1000 rows processed per call.
Example use cases
Pre-import data quality gate
“Before I load this machine utilisation CSV into our database, run it through the invalid row checker — comma-delimited, allowed machine categories are line-1, line-2, and line-3, running_hours must be between 0 and 24, and flag anything that doesn't match.”
Manufacturing shift report validation
“I've got a CSV of machine running hours and scheduled hours from last week's shifts — can you validate it and export all the bad rows? Categories allowed are press-a and press-b, delimiter is semicolon, and values should be between 0 and 168.”
Automated ETL pipeline row rejection
“As part of our nightly ETL, validate this machine utilisation import CSV with comma delimiter and export any rows that have disallowed category IDs or values outside the range -1000 to 1000000 — keep max cell length at 500 characters.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-csv-machines-invalid-rows?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to validate a machine utilisation CSV (with fields like observation_id, machine_id, running_hours, scheduled_hours) against a declared schema contract before importing — particularly when you need to identify and export the specific invalid rows rather than just a pass/fail result. Best for pre-import quality gates, ETL pipelines, or audit workflows in manufacturing or industrial contexts. Not suitable for general-purpose CSV validation or non-machine-utilisation data shapes.
Side effects
- CSV exceeds 100,000 character limit — rejected with size error
- Delimiter mismatch causes all rows to parse incorrectly — returns most or all rows as invalid
- Allowed categories list is empty or misconfigured — all category values flagged
- Minimum value greater than maximum value — configuration error
- CSV is malformed beyond quoted-cell support — parse failure
- Cell content exceeds max_cell_length — row flagged 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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