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Machine Utilisation Imports — Whitespace Audit
x402
Machine Utilisation Imports — 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 and audits whitespace issues in a CSV of machine utilisation data (up to 1000 rows), checking quoted cells and enforcing schema constraints.
Price / call$0.01
Success—
StatusUnknown
How this service works
Machine utilisation imports — Whitespace audit: Whitespace 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 whitespace audit report.
Output
A CSV whitespace audit report identifying cells or rows with whitespace violations, including details on which cells contain leading/trailing whitespace, whether quoted cells are properly handled, and whether values fall within the declared minimum/maximum range and allowed category lists.
Example use cases
Pre-import data quality gate
“Before I push this machine utilisation CSV into our data warehouse, can you audit it for whitespace problems? The file uses comma delimiters, machine IDs should only be 'line-1', 'line-2', or 'line-3', and running hours should be between 0 and 8760.”
Scheduled ETL pipeline validation
“Every morning we receive a machine utilisation export — can you validate today's CSV file for whitespace issues, making sure all values fall between 0 and 1000 and no cell is longer than 200 characters?”
Ad-hoc operator data check
“My team just uploaded a machine utilisation CSV with observation_id, observed_on, machine_id, running_hours, and scheduled_hours columns — can you audit it for whitespace errors and flag any rows where machine_id isn't in the list 'press-a', 'press-b', 'press-c'?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-csv-machines-whitespace?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a lightweight, domain-specific whitespace audit for machine utilisation CSV imports — particularly when you have a declared schema contract with known column names (observation_id, observed_on, machine_id, running_hours, scheduled_hours), bounded numeric ranges, and a finite list of valid category values. It is purpose-built for this data shape, making it more precise than a generic CSV validator for machine operations data.
Side effects
- CSV exceeds 1000 rows — only up to 1000 rows are validated
- CSV string exceeds 100,000 character limit — request rejected
- Cell length exceeds max_cell_length setting — flagged as violation
- Invalid delimiter specified — must be comma, semicolon, or tab
- Malformed CSV with unclosed quotes — parse error returned
- Allowed categories list exceeds 100 entries — rejected
- Numeric values outside configured minimum/maximum range — flagged
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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