LLM Token Count & Cost Estimator

x402

LLM Token Count & Cost Estimator is a paid API for AI agents from api.strale.io, paid per call via x402, $0.0216/call, status unknown (last checked 2026-10-10).

Estimates token count and cost for a given text across popular LLM models (GPT-4o, Claude, Gemini, Mistral, Llama) using local algorithms — no external API calls.

Price / call$0.0216

Seller volume →—

Success—

StatusUnknown

How this service works

Estimate token count and cost for text across LLM models (GPT-4o, Claude, Gemini, Mistral, Llama). Algorithmic — no API calls.

Output

Returns the token count and estimated cost for the provided text, attributed to the specified LLM model (e.g. gpt-4o, claude-3-haiku). Computed algorithmically without making any external LLM API calls.

Example use cases

Example prompt

“How many tokens is this text for GPT-4o, and what would it cost: 'The quick brown fox jumps over the lazy dog. This is a sample prompt I want to send repeatedly to an LLM.'?”

Technical details

Endpoint

GEThttps://api.strale.io/x402/token-count?utm_source=zero.xyz

When to prefer

Use this endpoint when you need a fast, cheap, offline-style token count and cost estimate before actually calling an LLM API — ideal for budget checks, context window validation, or cost forecasting without incurring LLM API charges. Prefer over manual tokenizer libraries when you need cross-model comparison in a single call.

Side effects

Missing required 'text' query parameter returns an error
Unknown or unsupported model name may return a default or error
Very large text inputs may hit request size limits
Network errors or service unavailability return 5xx responses

Input

{
  "input": {
    "type": "http",
    "method": "GET",
    "queryParams": {
      "text": "The quick brown fox jumps over the lazy dog. This is a sample prompt I want to send repeatedly to an LLM.",
      "model": "gpt-4o"
    }
  }
}

Schema · Request body

Field	Type	Description
textrequired	string
model	string	gpt-4o, claude-3-haiku, etc.

Output

{
  "_meta": {
    "payment": {
      "method": "x402",
      "price_usd": 0.0216,
      "settlement_id": "0xcc037fbff5d6d6eae0d9c0dbf3d7dffab2f1be4ed1e4e6d02e3b2910d0f06796"
    },
    "capability": "token-count",
    "latency_ms": 0,
    "provenance": {
      "source": "algorithmic",
      "fetched_at": "2026-06-03T22:52:08.836Z"
    }
  },
  "model": "gpt-4o",
  "text_length": 105,
  "token_count": 27,
  "model_recognized": true,
  "cost_per_1k_tokens": 0.0025,
  "estimated_cost_usd": 0.000068,
  "fits_context_window": true,
  "chars_per_token_used": 4,
  "max_context_for_model": 128000
}

Schema · Response

{
  "token_count": {
    "type": "integer"
  },
  "estimated_cost_usd": {
    "type": "number"
  },
  "fits_context_window": {
    "type": "boolean"
  },
  "max_context_for_model": {
    "type": "integer"
  }
}

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