PQS - Prompt Quality Score via Venice.ai is a paid API for AI agents from promptqualityscore.com, paid per call via x402, $0.05/call, status unknown (last checked 2026-09-13).
Scores an AI prompt across 8 quality dimensions, returns a grade and fixed version by proxying through Venice.ai inference
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.
Returns a JSON object with: a letter grade (e.g. D), total score out of 100, per-dimension scores (clarity, context, examples, constraints, specificity, cot_structure, output_format, role_definition), framework breakdown (peem, geval, ragas), an improvement suggestion, the Venice.ai model's actual response content, token usage, and a preflight warning if applicable.
GEThttps://promptqualityscore.com/api/proxy/veniceUse this endpoint when you need to evaluate and optionally improve a single prompt before spending on a full LLM inference call, especially when prompt quality is uncertain or when you want structured multi-dimensional scoring with a fixed suggestion. Prefer this over batch endpoints when evaluating one prompt at a time.
| Field | Type | Description |
|---|---|---|
| model | string | Optional Venice.ai model override. Defaults to venice-uncensored-1-2. Call GET /api/proxy/venice/models (free, no payment) for the live list of supported model IDs and aliases. Unknown IDs return 400 before settlement. |
| prompt | string | Prompt to score and send to Venice.ai |
| vertical | string |
{
"type": "json",
"example": {
"pqs": {
"grade": "D",
"total": 46,
"dimensions": {
"clarity": 7,
"context": 6,
"examples": 4,
"constraints": 5,
"specificity": 6,
"cot_structure": 6,
"output_format": 7,
"role_definition": 5
},
"framework_breakdown": {
"peem": 6,
"geval": 6,
"ragas": 5.3
}
},
"meta": {
"endpoint": "/api/proxy/venice",
"request_id": "00000000-0000-4000-8000-000000000000",
"price_paid_usdc": 0.05
},
"venice": {
"model": "venice-uncensored-1-2",
"usage": {
"total_tokens": 57,
"prompt_tokens": 24,
"completion_tokens": 33
},
"content": "PQS scores any LLM prompt on 8 dimensions before inference so an agent operator can reject low-quality inputs before paying for a run.",
"citations": [
{
"url": "https://promptqualityscore.com/",
"date": "",
"title": "PQS - promptqualityscore.com",
"content": "PQS scores any LLM prompt on 8 dimensions pre-inference."
}
],
"web_search_enabled": true
},
"preflight_warning": null,
"improvement_suggestion": "Include at least one worked example or input-output pair of the result you want."
}
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