Vextorium · api.vextorium.com

Count the tokens of a text

Count the tokens of a text with OpenAI tokenizers (o200k for GPT-4o/4.1/5, cl100k for GPT-4/3.5) plus estimates for Claude, Llama and Gemini, with characters per token. Budget LLM calls and split contexts.

Ready now3 calls · 3 buyers in 30 days

Input

Sample response

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

response8 keys

characters282

characters_per_token5.32

encoding"o200k_base"

estimates3 keys

claude_approx58

gemini_approx50

llama3_approx54

note"Exact count for OpenAI encodings; the rest are estimates (each model tokenizes differently)."

tokens53

tokens_other_encoding1 key

cl100k_base56

words40

responseobject, 8 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: 3
Buyers, last 30 days: 3
Last paid call: 2 weeks ago

Reported by the x402 directory.

A$0.0043 per call