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PQS /api/score — 8-Dimension Prompt Quality Scorer
x402
PQS /api/score — 8-Dimension Prompt Quality Scorer is a paid API for AI agents from promptqualityscore.com, paid per call via x402, $0.025/call, status unknown (last checked 2026-10-11).
Scores a prompt across 8 dimensions (clarity, context, examples, constraints, specificity, chain-of-thought structure, output format, role definition) with a grade, percentile, and top 3 actionable fixes
Price / call$0.025
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 structured object with: a total score (8–80), letter grade (A–F), percentile rank, individual scores for all 8 dimensions (clarity, context, examples, constraints, specificity, cot_structure, output_format, role_definition), an upgraded prompt string, and exactly 3 specific fix recommendations
Example use cases
Pre-flight quality check for customer support prompts
“Before I deploy this prompt to our support chatbot, can you score it and tell me if it's good enough to use? I want to know the grade and which dimensions need the most work.”
Debug why my data extraction prompt fails
“I've been getting inconsistent results from my data extraction prompt. Can you break down the quality across all dimensions and give me the top 3 specific things I should fix?”
Optimize prompts across a prompt library
“I've got a bunch of prompts my team wrote for different tasks. Can you score each one and rank them by overall quality? I want to see the letter grades and dimension breakdown so I know which ones need rework.”
Technical details
Endpoint
GEThttps://promptqualityscore.com/api/score?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need a detailed, multi-dimensional quality breakdown of a prompt with dimension-level sub-scores and prioritized fixes — not just a pass/fail or single composite score. Ideal for prompt debugging workflows, prompt optimization pipelines, or pre-flight filtering before expensive LLM calls where you want to understand *why* a prompt is weak and exactly what to fix.
Side effects
- Missing required 'prompt' field — returns validation error
- Prompt too short or empty — may return low scores or error
- Invalid vertical value — falls back to 'general' or returns validation error
- Network timeout on large prompts
- Payment failure (x402) — endpoint returns 402 if USDC payment not attached
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": {
"score": {
"grade": "C",
"total": 46,
"out_of": 80,
"dimensions": {
"total": 46,
"clarity": 7,
"context": 6,
"examples": 4,
"constraints": 5,
"specificity": 6,
"cot_structure": 6,
"output_format": 7,
"role_definition": 5
},
"percentile": 58
},
"prompt": "Explain PQS scoring in one sentence to an AI agent operator.",
"upgrade": "For optimized prompt call /api/score/full at $0.125 USDC",
"vertical": "general",
"top_fixes": [
"Specify the exact output format you want (bullets, JSON, prose).",
"Name the target reader or persona explicitly.",
"Add one concrete example of the ideal response."
],
"powered_by": "PQS - promptqualityscore.com",
"pqs_version": "2.0"
}
}Tags
x402
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