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Library Loan Imports CSV Whitespace Audit
x402
Library Loan Imports CSV 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 2026-10-16).
Validates a CSV file of library loan records for whitespace issues across up to 1000 rows, reporting cell-level whitespace anomalies.
Price / call$0.01
Success—
StatusUnknown
How this service works
Library loan imports — Whitespace audit: Whitespace audit for Library loan 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 whitespace audit report for the submitted CSV of library loan records, identifying cells or rows with whitespace anomalies such as leading/trailing spaces, unexpected internal whitespace, or empty-looking cells. The report covers up to 1000 rows and respects the specified delimiter and max cell length constraints.
Example use cases
Pre-import data quality check
“Before I import this library loan CSV into our system, can you audit it for whitespace issues? It's comma-delimited and has up to 500 rows with columns loan_id, borrowed_on, branch_id, loan_days, and overdue_days.”
Branch category whitespace validation
“I need to validate my library loan export CSV — please check it for whitespace problems and make sure branch categories only include 'group-a' and 'group-b', using comma as the delimiter.”
Automated loan data pipeline validation
“As part of our nightly pipeline, audit this library loan CSV for whitespace issues — it's tab-delimited with a max cell length of 200 characters and up to 1000 rows, and flag anything that looks malformed.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-csv-loans-whitespace?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, inexpensive ($0.01 USDC) whitespace-focused audit specifically tailored to library loan CSV data with columns like loan_id, borrowed_on, branch_id, loan_days, and overdue_days. It is ideal for pre-import data quality checks, automated pipeline validation steps, or one-off manual audits where whitespace hygiene is the primary concern. Prefer it over general CSV validators when the domain context of library loans and the whitespace-specific preset logic matter.
Side effects
- CSV exceeds 100,000 character limit — request rejected
- More than 1000 rows submitted — validation may truncate or fail
- Invalid delimiter value other than comma, semicolon, or tab — schema rejection
- Cell length exceeds max_cell_length threshold — flagged or error
- Malformed CSV with unmatched quotes — parsing failure
- Empty CSV string submitted — minimum length violation
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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