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LLM Token Counter · x402.shizu.me

Exact token count for text

Exact token count for text using OpenAI tokenizers. Body: {text, encoding?} where encoding is cl100k_base or o200k_base (default). Returns tokens and char_count. Use to budget prompts and context windows.

Ready now2 calls · 2 buyers in 30 days

Input

Sample response

Published by the provider. Your run returns a fresh response.

response3 keys
char_count11
encoding"o200k_base"
tokens2
responseobject, 3 keys
Your agent can do this on its own
Add the MCP URL in Claude Code, Cursor or Codex. Your agent can run Tools within its spending limits, or ask for approval each time. Connect your agent

Connect your agent

Add one MCP URL and your agent can find and run this tool within its spending limits. Choose “Ask each time” if you want to approve every Call.

MCP URL

https://app.aecon.ai/mcp
Terminalbash
claude mcp add --transport http --scope user agentic-economy "https://app.aecon.ai/mcp"

In Claude Code, open /mcp, select agentic-economy, then choose Authenticate.

Track record

Paid calls, last 30 days
2
Buyers, last 30 days
2
Last paid call

Reported by the x402 directory.

A$0.0029 per call