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PQS Grade — Prompt Quality Quick Score
x402
PQS Grade — Prompt Quality Quick Score is a paid API for AI agents from promptqualityscore.com, paid per call via x402, $0.001/call, status unknown (last checked 2026-09-14).
Scores a prompt text with a composite 0-100 score, A-F letter grade, three framework sub-scores (PEEM, RAGAS, G-Eval), and a pass/fail verdict for use as a cheap pre-flight filter before expensive LLM calls
Price / call$0.001
Success—
StatusUnknown
How this service works
Quick pre-flight quality score: composite (0-100) + grade (A-F) + three framework sub-scores (PEEM, RAGAS, G-Eval) + verdict. Run upstream of any other paid call to filter weak prompts before inference. The cheapest gate on the AI input quality problem.
Output
Returns a composite quality score from 0-100, a letter grade from A to F, individual sub-scores for the PEEM, RAGAS, and G-Eval frameworks, and an overall verdict indicating whether the prompt is ready for submission to a paid LLM.
Example use cases
Pre-filter customer support chatbot prompts
“I'm building a customer support chatbot and want to catch poorly-written prompts before they hit my LLM API. Can you score this prompt and tell me if it's production-ready: 'Answer customer questions helpfully and be nice. Use the knowledge base if you need to.'”
Validate data extraction workflows upstream
“We're running document data extraction at scale and each extraction prompt costs money. Before we submit this one to Claude, can you give us a quality score with the letter grade and framework breakdown: 'Extract the invoice date, total amount, and vendor name from the provided document. Format as JSON.'”
Gate technical instruction prompts cheaply
“I need a fast, cheap way to validate my prompt quality before sending it to an expensive model. Score this software engineering prompt for me and give me the composite score, grade, and PEEM/RAGAS/G-Eval sub-scores: 'Design a REST API endpoint that handles pagination, filtering, and sorting for a user database. Consider security and performance.'”
Technical details
Endpoint
GEThttps://promptqualityscore.com/api/pqs-gradeWhen to prefer
Use this endpoint as the cheapest gate in an agentic pipeline when you want to discard low-quality prompts before spending on a costlier LLM inference call. Prefer it when you need a fast, multi-framework quality signal (PEEM, RAGAS, G-Eval all at once) with a human-readable grade rather than running a full LLM evaluation pass yourself.
Side effects
- Empty or missing prompt text returns a 400 validation error
- Prompt exceeding 10,000 characters is rejected
- Unrecognized vertical enum value causes a validation error
- Network timeout if the scoring service is under load
- Payment failure (x402) if USDC balance is insufficient
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| prompt | string | Prompt text to grade (1-10000 chars) |
| vertical | string | Optional domain: software/content/business/education/science/crypto/general/research |
Output
Schema · Response
| Field | Type | Description |
|---|---|---|
| graderequired | string | |
| scorerequired | integer | Composite 0-100 score (percentile-normalized total) |
| verdictrequired | string | Single sentence diagnosing the weakest dimension, with a framework citation |
| frameworksrequired | object | |
| upgrade_url | string | Link to PQS Pro for the full 8-dimension SaaS |
| methodology_url | string | Link to the methodology blog post explaining the five-framework synthesis |
Tags
x402
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