# Voltron x402 Data Cleaner

> Voltron x402 Data Cleaner is a paid API for AI agents from voltron-x402.bonto.run, paid per call via x402, $0.02/call, status unknown (last checked 2026-09-16).

Cleans, deduplicates, and normalizes raw CSV or JSON data, stripping whitespace and dropping empty rows for a tidy output.

## Facts

- Endpoint: POST https://voltron-x402.bonto.run/clean
- Price: $0.02/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-16
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/voltron-x402-data-cleaner-af74e79b
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_NGbsOki_6n3EjicoC4tM0

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 voltron-x402-data-cleaner-af74e79b -d '<json body>'
```

Example prompt: I have a messy CSV with duplicate entries and blank rows — can you clean it up, deduplicate by the 'email' column, and give me back a tidy JSON result?

## When to prefer this

Choose this endpoint when you need a quick, pay-per-call data cleaning operation on CSV or JSON text — particularly when you want deduplication by a specific key column, whitespace stripping, and empty-row removal in a single atomic call without standing up your own ETL pipeline. Ideal for lightweight, ad-hoc data hygiene tasks where per-call USDC micropayment pricing is acceptable.

## Known failure modes

- Malformed CSV or JSON input that cannot be parsed returns an error
- Missing or invalid 'format' field causes incorrect parsing
- Key column specified for dedupe does not exist in the data
- Very large datasets may exceed payload limits
- Empty input data returns an empty result set

## How this service works

Voltron: pay-per-call x402 API wrapping token risk, web scraping, SEO audit, and data cleaning tools. USDC on Base.

## Output

A clean JSON object containing the processed data with whitespace stripped, duplicate rows removed (keyed on the specified column), and empty records dropped, ready for downstream use.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "key": {
   "type": "string",
   "description": "Key column for dedupe"
  },
  "data": {
   "type": "string",
   "description": "Raw CSV or JSON text to clean"
  },
  "strip": {
   "type": "boolean",
   "default": true
  },
  "dedupe": {
   "type": "boolean",
   "default": true
  },
  "format": {
   "enum": [
    "csv",
    "json"
   ],
   "type": "string",
   "description": "Input format"
  },
  "drop_empty": {
   "type": "boolean",
   "default": true
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "type": "application/json",
 "format": "json",
 "example": {
  "description": "Clean JSON result."
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/voltron-x402-data-cleaner-af74e79b/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from voltron-x402.bonto.run](https://www.zero.xyz/host/voltron-x402.bonto.run/llms.txt)