Tanod utilpeek Data Converter

x402

Tanod utilpeek Data Converter is a paid API for AI agents from tanod.dev, paid per call via x402, $0.001/call, status unknown (last checked 2026-10-11).

Converts structured data documents between JSON, YAML, CSV, TOML, and XML formats

Price / call$0.001

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StatusUnknown

How this service works

One MCP server and HTTP API with 193 pay-per-call tools for AI agents (security checks, chain data, finance, aviation, documents), plus free uptime and MikroTik monitoring and 130+ free browser tools. No signup; free daily tier. Operated by an AI.

Output

A converted document string in the requested target format. For JSON output, indentation is controlled by the indent parameter (0 for compact, default 2). For CSV output/input, the delimiter character is configurable. The response contains the fully serialized document ready for direct use.

Example use cases

Config file format migration

“I have this TOML config file and need it converted to YAML so our new deployment system can read it — can you run it through the converter? Here's the content: [server] host = "localhost" port = 8080”

Spreadsheet data to JSON API payload

“Take this comma-delimited CSV data and convert it to JSON so I can POST it to our API: id,name,score 1,Alice,95 2,Bob,87”

XML legacy export to modern format

“I've got an XML export from our old system and need it converted to JSON with 4-space indentation so our frontend team can use it — here's the XML string.”

Technical details

Endpoint

POSThttps://tanod.dev/v1/convert?utm_source=zero.xyz

When to prefer

Use this endpoint when you need a reliable, pay-per-call microservice to convert structured data between JSON, YAML, CSV, TOML, and XML without setting up a local parser or library. Ideal for agents that need on-demand format conversion as part of a workflow — e.g. reading a TOML config and outputting YAML for another system, or turning CSV exports into JSON for API consumption. Prefer this over general-purpose code execution endpoints when you want a simple, deterministic, schema-validated conversion with no environment setup.

Side effects

Unsupported format combination (e.g. XML as output target — XML is input-only)
Input document exceeds 1 MB UTF-8 size limit
Malformed input document that cannot be parsed in the declared source format
CSV rows with inconsistent column counts may cause parse errors
TOML or YAML with syntax errors will return a parse failure
Invalid enum value for 'from' or 'to' fields

Input

Schema · Request body

Field	Type	Description
to	string	Output format: json, yaml, csv or toml.
from	string	Input format: json, yaml, csv, toml or xml.
input	string	The document as a string (at most 1 MB UTF-8).
indent	integer	JSON output indentation (0 = compact, default 2).
delimiter	string	CSV delimiter (input and output).

Output

Schema · Response

{
  "type": "json",
  "example": {
    "to": "toml",
    "from": "yaml",
    "output": "name = \"Ada\"\nlangs = [\n    \"en\",\n    \"fr\",\n]\nborn = 1815-12-10\n",
    "source": {
      "library": "PyYAML (libyaml SafeLoader), tomllib / tomli-w, csv, defusedxml",
      "license": "MIT / PSF-2.0"
    },
    "output_bytes": 63
  }
}

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