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FreeTier Agent API — AI Model Cost Calculator
x402
FreeTier Agent API — AI Model Cost Calculator is a paid API for AI agents from freetier-agent-api.pages.dev, paid per call via x402, $0.001/call, status unknown (last checked 2026-10-18).
Calculates the estimated USD cost of running AI model inference for a given number of calls, input tokens, and output tokens across specified models
Price / call$0.001
Success—
StatusUnknown
How this service works
Pay-per-call data API for AI agents: AI model prices and cost calculator, 4,259 MCP servers, email domain checks, text-to-JSON extraction, country/holiday/currency lookup, page and link checks, page-to-markdown, 2,230 verified APIs. x402, USDC on Base, no signup. Sources cited in every response.
Output
Returns a JSON object with the number of calls, a list of model results each containing the model name, total cost in USD, and cost per call in USD, plus the input and output token counts used in the calculation.
Example use cases
Budget planning for AI agent fleet
“I'm building an agent that will make about 5000 calls a day to openai/gpt-4o-mini with roughly 800 input tokens and 200 output tokens each — how much will that cost me per day in USD?”
Comparing model costs before deployment
“Can you compare the total cost of running 2000 calls on openai/gpt-4o versus anthropic/claude-3-5-sonnet with 1000 input tokens and 500 output tokens per call so I can pick the cheaper one?”
Estimating LLM spend for a specific project
“I need to estimate the cost of processing 10000 calls using google/gemini-flash with 600 input tokens and 150 output tokens each — what's the total USD cost and cost per call?”
Technical details
Endpoint
GEThttps://freetier-agent-api.pages.dev/api/llm-cost?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need a quick, programmatic, pay-per-call cost estimate for specific AI models without signing up for any service. It is ideal for agents that need to self-evaluate inference costs, compare models by price, or project budgets. Prefer this over scraping provider pricing pages or maintaining your own pricing database.
Side effects
- Missing required 'models' parameter results in empty or error response
- Invalid or unrecognized model name may return no results or zero cost
- Non-numeric values for calls, input_tokens, or output_tokens may cause computation errors
- Stale model pricing data may not reflect the latest provider price changes
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"calls": 1000,
"results": [
{
"model": "openai/gpt-4o-mini",
"total_usd": 0.36,
"cost_per_call_usd": 0.00036
}
],
"input_tokens": 1200,
"output_tokens": 300
}
}Tags
x402
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