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Machine Utilisation Imports — Cell Length Audit
x402
Machine Utilisation Imports — Cell Length 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 CSV cell lengths in machine utilisation import files, auditing up to 1000 rows against a declared maximum cell length contract.
Price / call$0.01
Success—
StatusUnknown
How this service works
Machine utilisation imports — Cell length audit: Cell length audit 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 cell length audit report.
Output
Returns a cell length audit report identifying which cells in the machine utilisation CSV exceed the declared maximum length, including row and column details of violations, covering up to 1000 rows of quoted or unquoted CSV data.
Example use cases
Pre-import CSV contract validation
“Before I import this machine utilisation CSV into our system, can you check that every cell is within 200 characters? Use comma as the delimiter and allow only group-a and group-b as categories.”
Detecting oversized machine ID fields
“I've got a machine utilisation CSV and I'm worried some of the machine_id fields are too long — can you audit it with a max cell length of 100 and comma delimiter and tell me which rows have violations?”
Validating tab-delimited machine hours export
“Can you run a cell length audit on this tab-delimited machine utilisation export? Set the max cell length to 250 and check up to 1000 rows.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-csv-machines-length?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to validate machine utilisation CSV imports specifically for cell length compliance before ingesting data into a system. It is purpose-built for the machine utilisation domain (observation_id, machine_id, running_hours, scheduled_hours columns) and supports quoted cells, configurable delimiters, and category allowlists. Prefer it over generic CSV validators when you need a domain-specific audit report with a clear per-call cost and no external data enrichment.
Side effects
- CSV exceeds 100,000 character input limit — request rejected
- CSV contains fewer than 1 character — minimum length violation
- max_cell_length outside 1–5000 range — validation error
- Delimiter not one of comma, semicolon, or tab — invalid enum error
- More than 100 allowed_categories supplied — array limit exceeded
- Malformed CSV that cannot be parsed — processing 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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