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CoCo Token Estimator
x402
CoCo Token Estimator is a paid API for AI agents from cocoeatsai.com, paid per call via x402, $0.001/call, status unknown (last checked 2026-10-19).
Estimates token count and optional cost for a given text string using a heuristic (~4 chars/token) approximation
Price / call$0.001
Success—
StatusUnknown
How this service works
Zach Riehn's lab: an about-me and portfolio, a news desk, The Atelier for AI experiments, Launch Lab for XRP research, and Fracture for games.
Output
Returns a JSON object with the character count, word count, heuristic token estimate (~4 chars/token for English), and optionally a cost estimate in USD if price_per_million is provided. Includes a note clarifying the heuristic nature of the estimate and that exact counts vary by model tokenizer.
Example use cases
Pre-flight prompt token check
“Before I send this to the model, can you estimate how many tokens this system prompt uses: 'You are a helpful assistant specialized in tax law. Always cite your sources and explain in plain language.'”
LLM cost budgeting for a batch job
“I have a block of text I want to run through GPT-4 at $10 per million tokens — can you estimate the token count and what it'll cost? The text is: 'Artificial intelligence is transforming industries ranging from healthcare to logistics, enabling automation and insight at unprecedented scale.'”
Context window fit check
“Does this paragraph fit comfortably under 100 tokens? 'Our quarterly earnings exceeded analyst expectations driven by strong performance in the cloud division and record subscriber growth in emerging markets.'”
Technical details
Endpoint
GEThttps://cocoeatsai.com/area4/agent/tools/token-estimate?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a quick, cheap heuristic token estimate without calling a full tokenizer library or LLM API. Ideal for pre-flight checks, cost budgeting, or validating prompt length before submitting to a model. Not suitable when exact token counts are required (e.g., when operating near a hard context-window limit) — in those cases prefer model-native tokenizer APIs like tiktoken.
Side effects
- Missing required 'text' query parameter results in incomplete or null estimates
- Very non-English or code-heavy text will produce inaccurate estimates due to the fixed 4-chars/token heuristic
- cost_estimate_usd returns null if price_per_million is not supplied
- Extremely long text strings may hit query parameter length limits
- Non-numeric price_per_million values may cause cost_estimate_usd to be null or error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| outputrequired | object |
Output
Schema · Response
{
"type": "json",
"example": {
"note": "Heuristic (~4 chars/token English); exact counts depend on the model tokenizer.",
"chars": 51,
"words": 11,
"tokens_estimate": 15,
"cost_estimate_usd": null
},
"exampleNote": "Computed offline with demonstration inputs; time/random values are illustrative."
}Tags
x402
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