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API Usage Imports — Blank Row Report
x402
API Usage Imports — Blank Row Report is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-24).
Validates a CSV of API usage import data and reports blank/empty rows, supporting up to 1000 rows with configurable delimiters and cell constraints.
Price / call$0.01
Success—
StatusUnknown
How this service works
API usage imports — Blank row report: Blank row report for API usage 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 blank row report report.
Output
A report identifying which rows in the submitted CSV are blank or empty, based on the declared table contract (up to 1000 rows). Returns details about empty row positions and validation outcomes, respecting delimiter, cell-length, and allowed-category constraints.
Example use cases
Pre-import blank row audit
“Before I upload this API usage CSV to our data warehouse, can you scan it for any blank rows? It's comma-delimited with usage_id, observed_on, endpoint_id, request_count, and error_count columns — I need a report of any empty records.”
Data pipeline quality check
“I have a CSV export of API usage imports and I want to make sure there are no blank rows slipping through before processing. The file uses a semicolon delimiter and I only want to flag rows that are missing data entirely — can you run a blank row report on it?”
Automated usage data validation
“Run a blank row check on this tab-delimited API usage CSV — it tracks request_count and error_count per endpoint — and tell me which row numbers are completely empty so I can fix them before the next import cycle.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-csv-api-usage-empty-rows?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, low-cost ($0.01 USDC) blank row check specifically on API usage import CSVs with up to 1000 rows. It is ideal for pre-import data quality pipelines where detecting missing/empty records is the primary concern. Prefer alternatives if you need full schema validation beyond blank row detection, cross-row deduplication, or enrichment of the data.
Side effects
- CSV exceeds 100,000 character limit — request rejected
- CSV is empty or missing — validation cannot proceed
- Invalid delimiter specified — must be comma, semicolon, or tab
- Cell content exceeds max_cell_length — row flagged or rejected
- More than 1000 rows submitted — may exceed engine limits
- Malformed CSV (unclosed quotes, inconsistent columns) — parse error
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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