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Library Loan Imports CSV Trimmed Typed Conversion
x402
Library Loan Imports CSV Trimmed Typed Conversion 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 and normalizes a CSV table of library loan records (up to 1000 rows), performing trimmed typed conversion with configurable delimiters, numeric bounds, and allowed category values.
Price / call$0.01
Success—
StatusUnknown
How this service works
Library loan imports — Trimmed typed conversion: Trimmed typed conversion 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 trimmed typed conversion report.
Output
Returns a trimmed typed conversion report for the submitted library loan CSV, including per-row type conversion results, detected cell values, trim outcomes, validation pass/fail status for numeric bounds and allowed category constraints, and any errors or anomalies found across up to 1000 rows.
Example use cases
Pre-import loan data quality check
“I have a CSV export of library loan records with columns loan_id, borrowed_on, branch_id, loan_days, and overdue_days — can you run a typed conversion check on it to make sure all numeric fields are between 0 and 500 and branch values are only group-a or group-b before I import it?”
Detecting malformed overdue records
“Can you parse this tab-delimited library loan CSV and flag any rows where overdue_days or loan_days fall outside the range of 0 to 90, so I can clean up the bad records?”
Validating branch category codes
“I'm importing loan data from three branches — branch-north, branch-south, and branch-east — can you validate this comma-separated CSV and make sure no branch_id values outside those three appear anywhere in the file?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-csv-loans-normalise?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a lightweight, contract-based validation and typed normalization of library loan CSV data — specifically when your data has columns like loan_id, borrowed_on, branch_id, loan_days, and overdue_days. It is ideal for pre-import data quality checks where you want to enforce numeric ranges and allowed category lists without any external enrichment or lookups. Prefer it over generic CSV parsers when you need a purpose-built loan-domain typed conversion report at minimal cost.
Side effects
- CSV exceeds 100,000 character limit — request rejected
- More than 1000 rows submitted — only first 1000 processed or error returned
- Invalid delimiter specified (not comma, semicolon, or tab) — validation error
- Cell length exceeds max_cell_length setting — cell flagged or truncated
- Numeric values outside min/max bounds — rows flagged as invalid
- Category values not in allowed_categories list — rows flagged
- Malformed quoted cells — parse error returned
- Empty CSV string submitted — error due to minLength:1 constraint
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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