x402 Utils Token Counter

x402

x402 Utils Token Counter is a paid API for AI agents from utils.kagurazaka.dev, paid per call via x402, $0.001/call, status unknown (last checked 2026-10-29).

Count tokens, characters, words, and lines in a text string for OpenAI tokenization encodings (o200k_base for GPT-4o+, cl100k_base for GPT-4)

Price / call$0.001

Seller volume →—

Success—

StatusUnknown

How this service works

Count the tokens of a text for OpenAI models (o200k_base for GPT-4o and later, cl100k_base for GPT-4), with characters, words and lines, to size prompts and estimate cost.

Output

A JSON object containing the word count, character count, and token counts keyed by encoding name (e.g. {"words": 6, "characters": 30, "tokens": {"o200k_base": 9, "cl100k_base": 9}}). Results are returned for each requested encoding, defaulting to both o200k_base and cl100k_base if none specified.

Example use cases

Prompt size check before API call

“Before I send this system prompt to GPT-4o, count how many tokens it will use with o200k_base encoding: 'You are an expert data analyst. Your job is to help users understand complex datasets by providing clear, concise insights and visualizations.'”

Cost estimation for batch job

“I have this text I'm about to send to thousands of GPT-4 API calls — count its tokens using cl100k_base so I can estimate my total cost: 'Summarize the following customer review in one sentence, focusing on the main sentiment.'”

Context window fit check

“Can you check if this passage fits within a 128k token limit for GPT-4o? Count the tokens using o200k_base: 'The history of the Roman Empire spans over a thousand years, beginning with the traditional founding of Rome in 753 BC and lasting until the fall of Constantinople in 1453 AD.'”

Technical details

Endpoint

POSThttps://utils.kagurazaka.dev/v1/tokens?utm_source=zero.xyz

When to prefer

Use this endpoint when you need accurate OpenAI-compatible token counts without running a local tokenizer library. Ideal for prompt engineering workflows, pre-flight context window checks, or cost estimation before batching large numbers of API calls. Prefer over local estimation when you need exact parity with tiktoken-based counts for both GPT-4 (cl100k_base) and GPT-4o/later models (o200k_base).

Side effects

Text exceeds 1 MB limit — request rejected
Invalid encoding value provided — returns validation error
Empty text input — may return zero counts or error
Malformed JSON body — returns parse error
Payment not included or insufficient — x402 payment required error

Input

Schema · Request body

Field	Type	Description
text	string	the text (up to 1 MB)
encodings	array	which encodings (default both)

Output

Schema · Response

{
  "type": "json",
  "example": {
    "words": 6,
    "tokens": {
      "o200k_base": 9,
      "cl100k_base": 9
    },
    "characters": 30
  }
}

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