# Training Example Metadata — CSV Cell Length Audit

> Training Example Metadata — CSV Cell Length Audit is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-12).

Validates cell lengths in a CSV training dataset, checking each cell against configurable min/max thresholds and allowed category values, up to 1000 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-bx-csv-training-data-length?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-12
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/training-example-metadata-csv-cell-length-audit-a8a9ccfc
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_kEAboG5N3rP1qmzjk45jA

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 training-example-metadata-csv-cell-length-audit-a8a9ccfc -d '<json body>'
```

Example prompt: Can you audit the cell lengths in my training data CSV — use a comma delimiter, flag any cell over 500 characters, and only allow 'group-a' and 'group-b' as category values?

## When to prefer this

Choose this endpoint when you need to validate cell-level length constraints in a CSV training dataset, especially when enforcing a declared schema contract with specific max character limits and allowed category values. Ideal for ML data pipelines that need lightweight, offline (no external enrichment) quality checks before ingesting training examples.

## Known failure modes

- CSV exceeds 100,000 character limit — request rejected
- More than 1000 rows submitted — only first 1000 processed or error returned
- Invalid delimiter specified — must be comma, semicolon, or tab
- max_cell_length out of range (must be 1–5000) — validation error
- Malformed CSV that cannot be parsed — parse error returned
- Empty CSV string submitted — minimum length violation

## How this service works

Training example metadata — Cell length audit: Cell length audit for Training example metadata. 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 cell length audit report.

## Output

Returns a cell length audit report for the submitted CSV training data, identifying cells that violate the configured minimum or maximum length thresholds, flagging disallowed category values, and summarizing compliance across up to 1000 rows.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "csv": {
   "type": "string",
   "default": "example_id,created_on,label,text_length,sample_weight\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

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