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AgentTools Token Estimator
x402
AgentTools Token Estimator is a paid API for AI agents from agentstoolshub.com, paid per call via x402, $0.002/call, status unknown (last checked 2026-10-12).
Estimates token counts for a given text across major LLM families (GPT, Claude, Gemini, Llama, DeepSeek) using a character/word heuristic accurate to within ~10% of real BPE tokenizers.
Price / call$0.002
Success—
StatusUnknown
How this service works
Estimate how many tokens a text consumes for each major model family (GPT, Claude, Gemini, Llama, DeepSeek) using a character/word heuristic that is within ~10% of real BPE tokenizers — enough for context budgeting and cost math, with zero dependencies. Use this when an agent needs to approximate token counts per LLM family, ±10%.
Output
Returns estimated token counts for the input text broken down by major LLM model families (GPT, Claude, Gemini, Llama, DeepSeek), computed via a character/word heuristic that approximates real BPE tokenizer output within ±10%. Useful for context budgeting and per-model cost math without needing to run actual tokenizers.
Example use cases
Context window budget check
“Before I send this system prompt to Claude, can you estimate how many tokens it will consume so I know how much room I have left in the context window? Here's the text: 'You are a helpful assistant specializing in customer support for a SaaS product. Always respond politely and escalate billing issues to a human agent.'”
LLM cost comparison across families
“I need to know roughly how many tokens this paragraph will use for GPT, Llama, and DeepSeek so I can compare costs before choosing which model to call: 'Quarterly earnings reports showed a 12% increase in revenue driven by strong performance in the APAC region, with operating margins improving by 3 points year-over-year.'”
Prompt length validation before batch job
“Can you check the token count for this template text across all major model families — I want to make sure it stays under 500 tokens for every LLM I'm targeting: 'Dear {{customer_name}}, thank you for your recent purchase of {{product_name}}. Your order will arrive by {{delivery_date}}. Please contact support if you have any questions.'”
Technical details
Endpoint
GEThttps://agentstoolshub.com/api/v1/dev/token-estimator?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, zero-dependency token count estimate across multiple LLM families simultaneously — especially useful for pre-flight context budgeting, cost math, or prompt length validation where ±10% accuracy is sufficient and you don't want to run individual tokenizer libraries per model family.
Side effects
- Missing required 'text' query parameter returns an error
- Empty string input may return zero counts or an error
- Extremely long texts may hit server-side limits
- Network timeout on slow connections
- Non-UTF-8 or binary content in text field may cause parsing errors
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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