# 24KLabs Data Format Validator & Linter

> 24KLabs Data Format Validator & Linter is a paid API for AI agents from api.24klabs.ai, paid per call via x402, $0.002/call, status unknown (last checked 2026-09-13).

Validates and lints JSON, YAML, CSV, or XML input, returning a valid flag, the first error location (line/column), and a normalized re-serialized copy when valid.

## Facts

- Endpoint: POST https://api.24klabs.ai/api/data-format-validate
- Price: $0.002/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-13
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/24klabs-data-format-validator-linter-f0b8fffd
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_8yzUr9dNbmTOLBYZSpuyD

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 24klabs-data-format-validator-linter-f0b8fffd -d '<json body>'
```

Example prompt: Can you validate this JSON string for me and tell me if it's valid — if not, let me know the exact line and column where the error is: '{"name":"Alice","age":30,"city":}'

## When to prefer this

Choose this endpoint when you need a quick, deterministic syntax check and normalization for structured data formats (JSON, YAML, CSV, XML) with precise error location reporting. It is ideal for CI/CD pipelines, pre-flight checks before sending data to external APIs, developer tooling agents, or any workflow where knowing the exact line/column of a parse error is essential. Prefer it over a general-purpose LLM for format validation because it is authoritative, cheap, and returns machine-readable error positions rather than natural language guesses.

## Known failure modes

- Input data is malformed: returns valid=false with line/column of first error and a descriptive error message
- Unsupported or unrecognized format type specified: returns an error indicating the format is not supported
- Empty input provided: returns a validation error or invalid flag
- Extremely large inputs may time out or be rejected with a payload-too-large error
- Ambiguous format (e.g. not specifying JSON vs YAML for similar-looking input) may cause incorrect parsing

## How this service works

Validate and lint JSON, YAML, CSV, or XML. Returns a valid flag, the line/column of the first error when invalid, and a normalized (re-serialized) copy when valid.

## Output

Returns a JSON object containing: a boolean 'valid' field, a 'line' and 'column' integer indicating the position of the first error when invalid (null when valid), an optional 'error' message string describing the issue, and a 'normalized' string containing the re-serialized/canonicalized version of the input when valid.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "input": {
   "type": "string"
  },
  "format": {
   "type": "string"
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "type": "json",
 "example": {
  "valid": true,
  "format": "json",
  "normalized": "{\n  \"a\": 1\n}"
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/24klabs-data-format-validator-linter-f0b8fffd/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from api.24klabs.ai](https://www.zero.xyz/host/api.24klabs.ai/llms.txt)