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Payment Imports — Numeric Type Check
x402
Payment 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 that numeric columns in a payment CSV (amounts, fees, etc.) contain valid numeric values, within configured bounds and category allowlists.
Price / call$0.01
Success—
StatusUnknown
How this service works
Payment imports — Numeric type check: Numeric type check for Payment 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
A CSV numeric type check report identifying which cells, rows, or columns fail numeric validation — including values that are non-numeric, out of the configured min/max range, or otherwise malformed — across up to 1000 rows of the submitted payment CSV.
Example use cases
Pre-import payment data quality check
“Before I import this payments CSV into our accounting system, can you validate that all the numeric columns like paid_amount and processing_fee actually contain valid numbers and nothing looks like text or a formula? Use comma as the delimiter.”
Catch out-of-range payment amounts
“I need to make sure none of the payment amounts in this CSV exceed $5,000,000 or go below zero — can you run a numeric type check and flag any rows that are out of range?”
Validate category and amount columns together
“Can you validate my payment import CSV to confirm the numeric fields are all proper numbers, and also that the invoice_id column only contains the allowed categories group-a and group-b?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-csv-payments-types?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you specifically need to validate that numeric columns in a payment-domain CSV (amounts, fees, IDs) contain proper numeric values and fall within expected bounds, before ingesting the data into a financial or accounting system. Prefer it over generic CSV validators when your use case is payment record imports and you need a payment-aware preset with category allowlist support.
Side effects
- CSV exceeds 100,000 character limit — request rejected
- CSV has zero rows or is empty — validation cannot proceed
- Delimiter mismatch causes all rows to parse as single-column — misleading results
- Non-UTF8 or binary content in CSV — parsing error
- More than 1000 rows submitted — rows beyond limit may be ignored or rejected
- min/max bounds configured incorrectly (min > max) — undefined behavior
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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