# API Usage Imports — Blank Row Report

> 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.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-bx-csv-api-usage-empty-rows?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-24
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/api-usage-imports-blank-row-report-ba0a551a
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_PXX5AAMAZWKg5NLI1SaxD

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability api-usage-imports-blank-row-report-ba0a551a -d '<json body>'
```

Example prompt: Can you check this API usage CSV for blank rows? It uses a comma delimiter and has columns for usage_id, observed_on, endpoint_id, request_count, and error_count — flag any rows that are completely empty.

## When to prefer this

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.

## Known failure modes

- 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

## 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.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "csv": {
   "type": "string",
   "default": "usage_id,observed_on,endpoint_id,request_count,error_count\nrecord-a,2026-01-01,group-a,10,2\nrecord-b,2026-01-02,group-b,20,3",
   "maxLength": 100000,
   "minLength": 1
  },
  "maximum": {
   "type": "number",
   "default": 1000000000000,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  },
  "minimum": {
   "type": "number",
   "default": -1000000000000,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  },
  "delimiter": {
   "enum": [
    ",",
    ";",
    "\t"
   ],
   "type": "string",
   "default": ","
  },
  "max_cell_length": {
   "type": "integer",
   "default": 1000,
   "maximum": 5000,
   "minimum": 1
  },
  "allowed_categories": {
   "type": "array",
   "items": {
    "type": "string",
    "default": "",
    "maxLength": 100,
    "minLength": 1
   },
   "default": [
    "group-a",
    "group-b"
   ],
   "maxItems": 100,
   "minItems": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/api-usage-imports-blank-row-report-ba0a551a/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from market.datapackvibe.com](https://www.zero.xyz/host/market.datapackvibe.com/llms.txt)