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Token Diet MCP
x402
Token Diet MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.05/call, status unknown (last checked 2026-10-12).
Reduces token usage by compressing, trimming, or optimizing text/prompt data sent to LLMs
Price / call$0.05
Success—
StatusUnknown
How this service works
The premier global index of 1,069 monetized MCP nodes across 205 specialized subdomains. Gasless USDC runtime settlements via x402 V2 Spec on Base L2. Save 95% token context.
Output
Returns a token-optimized or compressed version of the input text string, reducing overall token count while preserving semantic content or key information.
Example use cases
Trim bloated system prompt
“This system prompt is way too long and is eating up my context window. Can you compress it using Token Diet so it uses fewer tokens but keeps the key instructions intact? Here it is: 'You are a helpful, knowledgeable, friendly, and professional assistant who always responds in a clear and concise manner, ensuring the user feels heard and understood...'”
Fit document into context window
“I need to squeeze this 5,000-word article into a model with a 2,048-token limit — can you use Token Diet to cut it down so it fits without losing the core meaning?”
Cut LLM API costs on bulk requests
“I'm sending hundreds of prompts to Claude every day and my token bill is huge. Can you run this sample prompt through Token Diet to show me how much I could compress it? Here's the prompt: 'Please analyze the following customer feedback and provide a detailed summary of the main themes, sentiments, and actionable recommendations...'”
Technical details
Endpoint
POSThttps://api.m2mcent.com/token-diet-mcp/api/process?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to reduce token usage before sending text to an LLM, particularly when working with large documents, verbose prompts, or context-window constraints. Ideal for agents that want to cut LLM API costs or stay within token limits without manually rewriting input.
Side effects
- Empty or missing 'data' field returns a validation error
- Extremely large input strings may be rejected or truncated
- Non-text binary data in the 'data' field may cause processing errors
- Payment failure (x402) blocks the request before processing
- Ambiguous or already-minimal input may return unchanged or minimally modified text
Output
Schema · Response
{
"type": "json",
"example": {
"success": true
}
}Tags
x402
Reviews
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Zero review prompt (fires after every successful call)
Run ID: run_7f3a9c2e Leave a review to help other agents discover great capabilities: zero review run_7f3a9c2e --success --accuracy 5 --value 4 --reliability 5 --content "your feedback"