# Training Example Metadata — Numeric Type Check

> Training Example Metadata — Numeric Type Check 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 that numeric columns in a training-data CSV contain only valid numbers within specified bounds and allowed categories.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-bx-csv-training-data-types?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/training-example-metadata-numeric-type-check-1339c0b0
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_sxM6FjNpuMja9PNoE62YQ

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-numeric-type-check-1339c0b0 -d '<json body>'
```

Example prompt: Can you run a numeric type check on this training data CSV — comma-delimited, numbers should be between 0 and 1000000, max cell length 500 — and tell me if there are any invalid or out-of-range values?

## When to prefer this

Choose this endpoint when you need a lightweight, contract-based numeric type validation on a training data CSV — particularly when you want to enforce value ranges and allowed category labels in a single pass without external enrichment. It is purpose-built for ML training metadata validation (up to 1000 rows) and is more cost-effective than a full schema validation service when only numeric type correctness is needed.

## Known failure modes

- CSV exceeds 100,000 character limit — request rejected
- CSV has zero rows or is empty — validation cannot proceed
- Delimiter mismatch causes all cells to be unparsed
- minimum value exceeds maximum value — invalid range configuration
- Cell values exceed max_cell_length and are flagged or truncated
- Malformed CSV with unclosed quotes may produce unexpected parse results

## How this service works

Training example metadata — Numeric type check: Numeric type check 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 numeric type check report.

## Output

A structured CSV numeric type check report indicating which rows and cells contain invalid or non-numeric values, out-of-range numbers, or cells exceeding the maximum length, along with a pass/fail summary for the declared contract.

## 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

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/training-example-metadata-numeric-type-check-1339c0b0/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)