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Machine Utilisation Imports — Numeric Type Check
x402
Machine Utilisation Imports — Numeric Type Check is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).
Validates numeric data types in a CSV of machine utilisation records (running hours, scheduled hours) against declared column contracts, up to 1000 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Machine utilisation imports — Numeric type check: Numeric type check 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 numeric type check report.
Output
Returns a numeric type check report identifying which rows and cells in the machine utilisation CSV fail numeric type constraints, including out-of-range values, non-numeric cell contents, and any cells exceeding the max cell length. The report covers up to 1000 rows with quoted-cell support.
Example use cases
Pre-import validation for machine logs
“Before I import this week's machine utilisation data, can you check the CSV for numeric type errors? The file has running_hours and scheduled_hours columns — I need to make sure every value is a proper number and nothing like 'N/A' or blank slipped in.”
Catch out-of-range hours in shift data
“I have a CSV of machine shift records where scheduled_hours should never exceed 24 — can you validate the numeric types and flag any rows where running_hours or scheduled_hours are outside 0 to 24?”
Validate contractor-submitted utilisation file
“A contractor sent us a semicolon-delimited machine utilisation CSV — can you run a numeric type check on it to make sure all the hours columns are actual numbers and the allowed category values are only 'group-a' and 'group-b'?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-csv-machines-types?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a lightweight, low-cost ($0.01 USDC) numeric type validation specifically for machine utilisation CSV imports with columns like running_hours and scheduled_hours. It is purpose-built for this domain with category allowlist support and range bounding — prefer it over generic CSV validators when the schema matches machine utilisation data with numeric hour fields.
Side effects
- CSV exceeds 100,000 character limit — request rejected
- More than 1000 rows submitted — validation may be truncated or refused
- Non-supported delimiter used — schema only allows comma, semicolon, or tab
- Minimum value exceeds maximum value — invalid range configuration
- Cell length exceeds max_cell_length setting — flagged or truncated
- Malformed CSV with unmatched quotes — parser error returned
- Empty CSV string — minimum length not met, request 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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