# JarvisClaw Prompt Coach Optimizer

> 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

## Facts

- Endpoint: GET https://api.jarvisclaw.ai/v1/prompt-coach/optimize
- Price: $0.003/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-14
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/jarvisclaw-prompt-coach-optimizer-4b7bb929
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_jSdOsLNwuhRfgwwsFpUBJ

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability jarvisclaw-prompt-coach-optimizer-4b7bb929
```

Example prompt: Can you optimize this rough prompt of mine so it gets much better results from an AI — here it is: 'summarize the document and highlight key points for a business audience'?

## When to prefer this

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.

## Known failure modes

- 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

## 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.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "input": {
   "type": "string",
   "description": "Request input"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/jarvisclaw-prompt-coach-optimizer-4b7bb929/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from api.jarvisclaw.ai](https://www.zero.xyz/host/api.jarvisclaw.ai/llms.txt)