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JarvisClaw Prompt Coach Optimizer
x402
JarvisClaw Prompt Coach Optimizer is a paid API for AI agents from api.jarvisclaw.ai, paid per call via x402, $0.003/call, status unknown (last checked 2026-09-14).
Optimizes and refines user prompts to improve clarity, effectiveness, and output quality using AI coaching techniques
Price / call$0.003
Success—
StatusUnknown
How this service works
AI API Gateway with smart routing, pay per call via x402. OpenAI-compatible. Settled in USDC on Base & Solana.
Output
Returns an optimized, clarified, and more effective version of the submitted prompt string, with coaching improvements applied to structure, specificity, and intent clarity.
Example use cases
Refining a vague chatbot system prompt
“I have a system prompt for my customer service chatbot but the responses keep going off-topic. Here it is: 'You are a helpful assistant for our software product.' Can you run it through the prompt coach to make it more focused and effective?”
Preparing a research query for an AI agent
“I want to ask an AI to do deep research on climate policy trends, but my prompt is too messy. Can you optimize this for me: 'look into what's happening with climate stuff and give me info'?”
Improving a creative writing instruction
“My prompt for generating short stories keeps producing boring results. Can you use the prompt coach to improve this: 'write a short story about a detective'?”
Technical details
Endpoint
GEThttps://api.jarvisclaw.ai/v1/prompt-coach/optimizeWhen to prefer
Choose this endpoint when you need to pre-process or improve a user-supplied prompt before sending it to an LLM, especially in agentic pipelines where prompt quality directly impacts downstream results. Prefer this over manual prompt engineering when operating at scale or when end-users are providing unstructured, vague, or poorly formed instructions.
Side effects
- Empty or missing 'input' field returns a validation error
- Extremely short or nonsensical inputs may produce low-quality optimizations
- Payment failure via x402 (402 response) if USDC balance is insufficient
- Rate limiting if too many requests are made in quick succession
- Ambiguous prompts with no clear domain may yield generic improvements
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| input | string | Request input |
Tags
x402
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