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Library Loan Imports — CSV Validation Summary
x402
Library Loan Imports — CSV Validation Summary is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-19).
Validates a CSV file of library loan records (up to 1000 rows) and returns a structured validation summary report covering format, value ranges, and category compliance.
Price / call$0.01
Success—
StatusUnknown
How this service works
Library loan imports — Validation summary: Validation summary 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 validation summary report.
Output
A structured validation summary report covering the parsed CSV rows (up to 1000), including counts of valid and invalid rows, specific field-level errors (type mismatches, out-of-range numeric values, disallowed category values, cell length violations), and an overall pass/fail status for the declared contract.
Example use cases
Pre-import loan data check
“Before I upload this CSV to our library system, can you validate it for me? The file uses comma delimiters, loan days should be between 1 and 60, overdue days between 0 and 30, and branch IDs must be either 'main' or 'annex'. Here's the CSV content.”
Overdue days range violation audit
“I have a library loan export CSV and I want to make sure no overdue_days values exceed 90 or go below 0. The delimiter is a comma and allowed branch categories are 'central', 'east', and 'west'. Can you run a validation summary on it?”
Branch category compliance check
“Can you check this semicolon-delimited loan CSV and confirm all branch_id values are within the allowed list: 'lib-a', 'lib-b', 'lib-c'? Numeric values should stay between -1000000000000 and 1000000000000. I just need a summary of any issues found.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-csv-loans-summary?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, inexpensive ($0.01 USDC) structured validation pass on a library loan CSV before importing it into a system. It is purpose-built for the library loan domain (loan_id, borrowed_on, branch_id, loan_days, overdue_days schema), supports quoted cells, and returns a summary rather than row-by-row detail. Prefer it over generic CSV validators when you need domain-aware category and numeric range checks in a single call without external enrichment.
Side effects
- CSV exceeds 100,000 character limit — request rejected
- More than 1000 data rows — validation truncated or rejected
- Invalid delimiter specified — parse errors on all rows
- Cell content exceeds max_cell_length — flagged as violation
- Malformed CSV (unmatched quotes, missing fields) — parse failure
- Numeric values outside min/max bounds — flagged per row
- Category values not in allowed_categories list — flagged per row
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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