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Price Quote Imports — Invalid Row Export
x402
Price Quote Imports — Invalid Row Export 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 a CSV of price quote records against declared constraints and returns a report of invalid rows
Price / call$0.01
Success—
StatusUnknown
How this service works
Price quote imports — Invalid row export: Invalid row export for Price quote 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 invalid row export report.
Output
A structured report listing all invalid rows from the submitted CSV, including which rows failed validation, the nature of each violation (out-of-range numeric value, disallowed category, malformed cell, exceeded cell length), and the relevant row identifiers — up to 1000 rows processed per call.
Example use cases
Pre-import quote file audit
“I have a CSV of supplier price quotes I'm about to import — can you check it for invalid rows before I load it? The file uses comma delimiters, unit prices must be between 1 and 10000, and only supplier categories 'vendor-east' and 'vendor-west' are allowed.”
Procurement data quality check
“Our procurement team uploaded a semicolon-delimited price quote file with about 800 rows. Please validate it and give me a report of every row that fails — prices should be positive (minimum 0) and categories must be one of 'tier-1', 'tier-2', or 'tier-3'.”
Automated quote ingestion pipeline validation
“As part of our nightly quote ingestion, validate this CSV of quoted prices using comma as the delimiter, flag any rows where unit_price is outside the range 0.01 to 999999, and export just the invalid rows so we can route them to the exceptions queue.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-csv-quotes-invalid-rows?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to validate a CSV of price quote records against declared business rules (numeric range constraints, allowed supplier category lists, cell length limits) and receive back only the rows that fail — specifically for price quote import workflows with quoted cell support. Prefer this over generic CSV validators when your domain is procurement/quote data with structured columns like quote_id, supplier_id, unit_price, and minimum_quantity.
Side effects
- CSV exceeds 100,000 character limit — request rejected
- CSV contains zero rows or only a header — empty result or error
- Delimiter mismatch causes all rows to appear as single-cell rows — widespread false invalids
- minimum value set greater than maximum value — constraint logic error
- allowed_categories list is empty and no categories pass — all rows flagged
- Cell length exceeds max_cell_length setting — those cells flagged as invalid
- Malformed quoted cells may cause parse errors if quoting is inconsistent
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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