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PQS Score - 8-Dimensional Prompt Quality Breakdown
x402
PQS Score - 8-Dimensional Prompt Quality Breakdown is a paid API for AI agents from pqs.onchainintel.net, paid per call via x402, $0.025/call, status unknown (last checked 2026-09-14).
Scores a single prompt across 8 quality dimensions using 5 evaluation frameworks and returns a ranked list of top fixes
Price / call$0.025
Success—
StatusUnknown
How this service works
PQS score - 8-dimensional prompt quality breakdown across 5 frameworks with top fixes
Output
Returns an 8-dimensional quality score for the submitted prompt, a per-dimension breakdown across 5 evaluation frameworks, and a prioritized list of the most impactful fixes to improve the prompt's overall PQS score.
Example use cases
Refine customer support agent prompts
“My support team is getting inconsistent responses from our customer service agent. Can you analyze this prompt across all 8 quality dimensions and tell me which areas are weakest and how to fix them? 'You are a support agent. Help customers with their issues.' I want to understand what's making it underperform before we invest in fine-tuning.”
Validate RAG system prompts
“We're building a retrieval-augmented generation system and I want to make sure our retrieval prompt is solid before we start feeding it real queries. Score this one across all the quality dimensions and show me the top improvements: 'Find relevant documents for the user question.' What does the multi-framework analysis tell us about its effectiveness?”
Audit prompt quality before deployment
“Before we deploy these prompts to our production LLM pipeline, I need a comprehensive quality audit. Can you break down this prompt across all 8 dimensions using your 5 frameworks and give me a priority list of fixes? 'Extract key information from the text.' I want to see where the weak spots are so we don't waste tokens on a mediocre prompt.”
Technical details
Endpoint
GEThttps://pqs.onchainintel.net/api/scoreWhen to prefer
Choose this endpoint when you need a detailed, multi-dimensional quality breakdown of a single prompt with actionable fix recommendations — especially before committing budget to a paid LLM call. Prefer this over the pass/fail preflight when you need more than a binary gate and want to understand exactly which dimensions are weak and how to improve them. Use it over the batch endpoint when you are iterating on a single prompt and need granular per-dimension scores.
Side effects
- Empty or missing prompt body returns a 400 validation error
- Prompt exceeds maximum token length causing a 413 or truncation error
- Payment not attached or insufficient USDC results in a 402 payment required response
- Malformed JSON body returns a 400 parse error
- Service unavailable or timeout returns a 503 or 504
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| prompt | string | Prompt to score |
| vertical | string | Domain: software/content/business/education/science/crypto/general/research |
Tags
x402
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