human_mirror $0.001 per call

Reflects a writer's communication style from raw text: computes sentiment (positive/negative/neutral) via a small built-in lexicon, tone (formal/informal) by detecting exclamation marks and informal words like 'lol','gonna','wanna','yeah','hey','cool','awesome', plus average word length, average sentence length, and an overall complexity rating (simple/moderate/complex). Pure offline computation, no external calls.

For AI agents: call human_mirror
POST https://toll402.dev/v1/t/human_mirror
{
 "text": "I love this product, it's absolutely amazing and wonderful!"
}
Answers 402 with x402 payment requirements; pay with any x402 client (@x402/fetch, x402 for Python, toll402-client, toll402-mcp) or send a prepaid-credits key as x-toll402-key (https://toll402.dev/credits). Paid per call via x402 (USDC on Base) or with a prepaid-credits key (x-toll402-key, card at /credits); charged only on success. Start at /llms.txt or connect the MCP server: npx -y toll402-mcp · remote https://toll402.dev/mcp.

Input schema

{
 "type": "object",
 "properties": {
  "text": {
   "type": "string",
   "description": "Text to analyze"
  }
 },
 "required": [
  "text"
 ]
}

MCP

{"mcpServers":{"toll402":{"command":"npx","args":["-y","toll402-mcp"],"env":{"TOLL402_WALLET_KEY":"0x..."}}}}

All tools · OpenAPI