Analyzes JSON structure depth, key counts, data types, and memory footprint. Send JSON via GET /v1/json/stats or use the MCP tool in Cursor and other editors. Returns metrics like max nesting level, total keys, array lengths, and type distribution — perfect for API analysis or when Claude needs to understand complex JSON before processing it.
curl "https://tinyfn.io/v1/json/stats" \
-H "X-API-Key: YOUR_API_KEY"const response = await fetch('https://tinyfn.io/v1/json/stats', {
headers: { 'X-API-Key': 'YOUR_API_KEY' }
});
const data = await response.json();
console.log(data);import requests
response = requests.get('https://tinyfn.io/v1/json/stats',
headers={'X-API-Key': 'YOUR_API_KEY'})
data = response.json()
print(data)Connect your AI agent (Claude, Cursor, Windsurf, etc.) to TinyFn's json tools:
{
"mcpServers": {
"tinyfn-json": {
"url": "https://tinyfn.io/mcp/json",
"headers": {
"X-API-Key": "YOUR_API_KEY"
}
}
}
}Returns depth levels, total keys, object/array counts, primitive type distribution, memory size estimates, and largest array/object sizes.
Available as an MCP tool in Cursor, Claude Code, and other supported editors. AI agents can analyze JSON structure before processing complex data.
Yes, but performance depends on complexity. Deep nesting (>20 levels) or objects with thousands of keys will take longer to analyze.
JSON Stats analyzes structure and provides metrics, while validation checks syntax correctness. Use Stats to understand data shape and complexity.
No, the input must be valid JSON. Malformed JSON will return a parsing error before statistics can be calculated.