# NAKONETS CSV Validate

> NAKONETS CSV Validate is a paid API for AI agents from x402vercel.vercel.app, paid per call via x402, $0.25/call, status unknown (last checked 2026-10-02).

Validates CSV text, returning row count, column count, and a boolean validity flag

## Facts

- Endpoint: POST https://x402vercel.vercel.app/api/data/csv-validate?utm_source=zero.xyz
- Price: $0.25/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-02
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/nakonets-csv-validate-bdfd2720
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_y1Ahm40A98IUAit54a_2i

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 nakonets-csv-validate-bdfd2720 -d '<json body>'
```

Example prompt: Can you validate this CSV text for me and tell me if it's valid, how many rows it has, and how many columns? Here's the data: 'name,age,city\nAlice,30,NYC\nBob,25,LA'

## When to prefer this

Use this endpoint when you need a quick, deterministic, pay-per-call CSV structure check without standing up your own parsing infrastructure. It is ideal for agent workflows that need a lightweight preflight gate before ingesting CSV data into a pipeline, database, or analytics system. Prefer this over general-purpose code execution endpoints when you want a single-purpose, reliable CSV validator with a predictable JSON response schema.

## Known failure modes

- Malformed or empty CSV text may return valid:false with ambiguous row/column counts
- Very large CSV payloads may time out or be rejected
- Non-CSV text input (e.g. JSON or XML) may return valid:false
- Missing 'text' field in request body causes a 400-level error
- Payment failure via x402 protocol results in 402 Payment Required before processing

## How this service works

Pay-per-call deterministic utilities for CI diagnosis, data validation, JavaScript syntax checks, market snapshots and opportunity preflight.

## Output

Returns a JSON object with 'valid' (boolean indicating whether the CSV is well-formed), 'rows' (integer count of data rows), and 'columns' (integer count of columns detected).

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "text": {
   "type": "string",
   "description": "CSV text to validate"
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "type": "json",
 "example": {
  "rows": 3,
  "valid": true,
  "columns": 2
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/nakonets-csv-validate-bdfd2720/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from x402vercel.vercel.app](https://www.zero.xyz/host/x402vercel.vercel.app/llms.txt)