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Warehouse Count Imports — CSV Validation Summary
x402
Warehouse Count 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 2026-10-15).
Validates a warehouse cycle-count CSV file against a declared contract and returns a structured validation summary report.
Price / call$0.01
Success—
StatusUnknown
How this service works
Warehouse count imports — Validation summary: Validation summary for Warehouse count 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
Returns a structured validation summary report covering row-level errors, out-of-range numeric values, disallowed category values in bin_id, cell length violations, delimiter issues, and an overall pass/fail status for the submitted CSV (up to 1000 rows).
Example use cases
Pre-import cycle count data check
“Before I upload this cycle count file to our WMS, can you validate it against our contract? The CSV uses comma delimiters, allowed bin categories are BIN-01, BIN-02, and BIN-03, and unit counts should be between 0 and 50000. Here's the CSV data.”
Catch miscategorized bin IDs
“I have a warehouse count CSV and I suspect some bin_id values are wrong — can you run a validation summary and flag any rows where the bin_id isn't in the allowed list: aisle-1, aisle-2, aisle-3? Use comma as the delimiter.”
Validate seasonal inventory count file
“We just finished our quarterly inventory count and I need to validate the CSV before sending it to finance. The file is semicolon-delimited, allowed categories are zone-north and zone-south, and all counted_units values should be between 0 and 999999. Can you give me a full validation summary?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-csv-cycle-counts-summary?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to validate a warehouse cycle-count CSV file against a declared data contract before importing it into a WMS or reporting system. It is purpose-built for the count_id/observed_on/bin_id/expected_units/counted_units schema, supports quoted cells, configurable delimiters, numeric bounds, and allowed category lists — making it more appropriate than a generic CSV linter for inventory count workflows.
Side effects
- CSV exceeds 1000 rows — only first 1000 rows validated
- CSV string empty or malformed — parse error returned
- Cell content exceeds max_cell_length — flagged as violation
- Values outside min/max numeric range — flagged in summary
- bin_id values not in allowed_categories — flagged as category violations
- Unsupported delimiter used — parsing fails or misaligned columns
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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