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PQS Compare - Head-to-Head Prompt Scoring Across Models
x402
PQS Compare - Head-to-Head Prompt Scoring Across Models is a paid API for AI agents from promptqualityscore.com, paid per call via x402, $1.25/call, status unknown (last checked 2026-09-13).
Scores a prompt against 8 quality dimensions, runs it through multiple LLMs (GPT-4o and Claude), compares outputs with scores, and returns an optimized prompt with a winner verdict.
Price / call$1.25
Success—
StatusUnknown
How this service works
A Quality Gate For Prompts. Before they break production. Score any AI prompt against 8 dimensions, see what's weak, and get the fixed version in seconds.
Output
Returns a JSON object with: the winning model name, per-model outputs and dimension scores (relevancy, completeness, faithfulness, reasoning_depth, total), a natural-language verdict explaining why one model outperformed the other, the original prompt, and an AI-optimized rewrite of the prompt. Also includes PQS version and the vertical used.
Example use cases
Example prompt
“Run a PQS compare on this prompt against the software vertical and tell me which model wins and what the optimized version looks like: 'You are a senior engineer. Review the following code diff and list any bugs, performance issues, and security vulnerabilities in order of severity.'”
Technical details
Endpoint
GEThttps://promptqualityscore.com/api/score/compareWhen to prefer
Use this endpoint when you need to compare how multiple LLMs handle the same prompt side-by-side, get dimension-level quality scores, and receive an auto-optimized prompt rewrite — all in one call. Prefer this over the basic scoring endpoint when model selection matters or when you want a concrete recommendation on which model to use for a given prompt. Ideal for prompt QA pipelines before deploying to production, or when evaluating a new prompt for an AI agent.
Side effects
- Empty or missing prompt field returns validation error
- Prompt exceeds 10,000 character limit
- Invalid vertical enum value causes rejection
- Payment not included or insufficient (x402 payment required at $1.25 USDC)
- LLM provider timeout causes incomplete comparison results
- Network error from upstream model providers
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| prompt | string | Prompt to score |
| vertical | string | Domain: software/content/business/education/science/crypto/general/research |
Output
Schema · Response
{
"type": "json",
"example": {
"winner": "claude",
"results": {
"gpt4o": {
"model": "gpt-4o",
"output": "PQS measures prompt quality across 8 dimensions before the prompt reaches the model - a pre-flight gate for AI-agent buyers.",
"scores": {
"total": 32,
"relevancy": 9,
"completeness": 8,
"faithfulness": 8,
"reasoning_depth": 7
}
},
"claude": {
"model": "claude-sonnet-4-6",
"output": "PQS scores any LLM prompt on 8 dimensions pre-inference so x402 API buyers can reject low-quality inputs before paying.",
"scores": {
"total": 35,
"relevancy": 9,
"completeness": 9,
"faithfulness": 9,
"reasoning_depth": 8
}
}
},
"verdict": "Claude's response names the exact buyer action (reject) and ties to x402, giving the technical buyer a concrete decision rule.",
"vertical": "general",
"powered_by": "PQS - promptqualityscore.com",
"pqs_version": "2.0",
"original_prompt": "Explain PQS scoring in one sentence to an AI agent operator.",
"optimized_prompt": "You are an AI-agent product manager. In one sentence (max 25 words), explain PQS scoring to a technical buyer evaluating x402 APIs."
}
}Tags
x402
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