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Prompt Efficiency Scorer MCP
x402
Prompt Efficiency Scorer MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.05/call, status unknown (last checked 2026-09-14).
Analyzes and scores a given prompt for efficiency, quality, and optimization potential
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 an efficiency score or set of metrics for the submitted prompt, likely including a numeric score, qualitative feedback, and potentially suggestions for improving clarity, conciseness, or token efficiency.
Example use cases
Trim bloated LLM prompts
“I wrote this prompt for my customer support bot: 'Hello! I would very much appreciate it if you could please take the time to carefully read the following customer inquiry and then, when you are ready, provide a thoughtful and helpful response.' Can you score its efficiency and tell me how bloated it is?”
Compare prompt drafts for quality
“I have this prompt I'm about to send to GPT-4: 'Summarize the article below in 3 bullet points.' Score its efficiency so I know if it's tight enough before I ship it.”
Audit prompt library for optimization
“Before I finalize my prompt template library, can you run an efficiency score on this one: 'As an expert assistant, your task is to analyze and then evaluate and assess the sentiment of the user-provided text below'? I want to catch any redundancy.”
Technical details
Endpoint
POSThttps://api.m2mcent.com/prompt-efficiency-scorer-mcp/api/processWhen to prefer
Use this endpoint when you need to programmatically evaluate the efficiency or quality of AI prompts, especially in workflows where prompt engineering quality control is required. It is particularly useful for agents that auto-generate or iterate on prompts and need a scoring signal to optimize them.
Side effects
- Empty or missing 'data' field returns an error or zero score
- Extremely long prompts may exceed input limits
- Ambiguous or non-prompt text may produce low-confidence scores
- Network timeout on the POST request
- Payment failure via x402 protocol blocks request
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| payload | string |
Output
Schema · Response
{
"type": "json",
"example": {
"success": true
}
}Tags
x402
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