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PQS Batch Prompt Quality Scoring
x402
PQS Batch Prompt Quality Scoring is a paid API for AI agents from pqs.onchainintel.net, paid per call via x402, $0.25/call, status unknown (last checked 2026-09-14).
Scores up to 10 prompts in a single API call across 8 quality dimensions, returning structured quality breakdowns and improvement suggestions for each.
Price / call$0.25
Success—
StatusUnknown
How this service works
PQS batch scoring - score up to 10 prompts in one call
Output
Returns a quality score and 8-dimensional breakdown for each submitted prompt, including framework-level analysis and top recommended fixes, allowing the agent to identify which prompts are strong enough to send to a paid LLM and which need improvement before use.
Example use cases
Validate chatbot training prompts before deployment
“I've written 8 different system prompts for our customer service bot. Can you quickly score all of them across your quality dimensions and tell me which version is production-ready and what needs improvement in the weaker ones?”
Filter AI-generated prompt candidates efficiently
“My prompt generation tool just created 10 candidate prompts for our content moderation workflow. Score them all at once using PQS and show me which ones are solid enough to test with Claude versus which ones need rewriting.”
Benchmark prompt quality across team iterations
“Our team has developed 6 different versions of a data extraction prompt. Run them through your 8-dimension analysis in one call and give me a ranked breakdown so we know which approach is strongest before we commit budget to fine-tuning.”
Technical details
Endpoint
GEThttps://pqs.onchainintel.net/api/score/batchWhen to prefer
Use this endpoint when you need to evaluate multiple prompts at once and want to avoid the overhead of making separate scoring calls for each one. Ideal for agents that generate or collect batches of candidate prompts and need to efficiently filter or rank them before committing to expensive LLM calls. Prefer this over the single-prompt scoring endpoint whenever you have 2 or more prompts to evaluate.
Side effects
- More than 10 prompts submitted — batch limit exceeded
- Empty prompts array — returns validation error
- Malformed request body — JSON parse error
- Payment not attached or insufficient — x402 payment required error
- Individual prompts too long — token/length limit exceeded per prompt
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| prompts | array | Array of 1-10 prompts. Each item is a string or {prompt, vertical} object. |
Tags
x402
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