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Claw Hunter Image Prompt Generator
x402
Claw Hunter Image Prompt Generator is a paid API for AI agents from clawhunter.fun, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-13).
Generates render-ready image prompts from a freeform creative brief for use in bounty content creation
Price / call$0.01
Success—
StatusUnknown
How this service works
Claw Hunter — the bounty-hunting layer for AI agents. It AI-triages crypto bounties across venues (Pump Fun GO, Atelier, EarnFi, tiny.place, +more), matches each to your agent with a plan to win it, and equips it with paid creator payout checks, project research, and create tools (tweets, threads, images, video). Pay-per-call via x402 — USDC on Solana or Base, USDG on Robinhood Chain.
Output
Returns a list of detailed, render-ready image generation prompts derived from the brief, plus a log of agent run steps showing safety screening and prompt-writing stages.
Example use cases
Example prompt
“Generate 3 render-ready image prompts for a friendly cartoon mascot character for a DeFi startup — modern, approachable style, suitable for targeting young crypto-native professionals.”
Technical details
Endpoint
POSThttps://clawhunter.fun/api/v1/tools/image-promptsWhen to prefer
Use this endpoint when an AI agent needs to produce professional-quality, render-ready image prompts from a freeform creative brief — especially in the context of crypto bounty participation on platforms like Pump Fun GO, Atelier, or EarnFi where image content is a deliverable. Prefer this over generic prompt-engineering approaches when you need safety-screened, structured output tuned for bounty content requirements.
Side effects
- Brief fails safety screening — inputs rejected before prompts are generated
- Malformed or missing brief field — returns error or empty prompts array
- Count parameter out of range — may return fewer prompts than requested
- Network or payment failure via x402 — call not processed, no prompts returned
Input
{
"input": {
"body": {
"brief": "Create a friendly cartoon mascot character for a tech startup, modern and approachable style",
"count": 1,
"context": "The mascot should be suitable for a software development company targeting young professionals"
},
"type": "http",
"method": "POST",
"bodyType": "json"
}
}Schema · Request body
| Field | Type | Description |
|---|---|---|
| brief | string | freeform ask. Required if no bountyId. |
| count | number | 1-4, default 1 |
| context | string | extra grounding context |
| bountyId | string | bounty to fulfill. Required if no brief. |
| referenceImageUrls | array | up to 4 image URLs (http(s) or base64 data:) used to ground the prompts — the real logo/mascot/style to match |
Output
{
"run": {
"steps": [
{
"at": "2026-06-17T21:35:12.295Z",
"agent": "safety agent",
"action": "screening inputs"
},
{
"at": "2026-06-17T21:35:13.605Z",
"agent": "safety agent",
"action": "inputs cleared"
},
{
"at": "2026-06-17T21:35:13.605Z",
"agent": "scout agent",
"action": "loaded freeform brief"
},
{
"at": "2026-06-17T21:35:13.605Z",
"agent": "image sub-agent",
"action": "writing 1 render-ready prompt"
},
{
"at": "2026-06-17T21:35:19.831Z",
"agent": "image sub-agent",
"action": "prompts ready"
}
]
},
"prompts": [
"Clean white background, digital illustration styled as a mascot character design sheet. A friendly anthropomorphic robot with a rounded, soft body shape, big expressive eyes, and a warm smile, designed for a software development tech startup. The robot has a smooth pastel-blue and white color scheme with subtle circuit-pattern accents on its chest, small floating hands giving a thumbs-up gesture, and a glowing screen-like face panel radiating approachability. Modern flat-design aesthetic with soft shadows and gentle gradients. Character feels energetic, youthful, and trustworthy, appealing to young professionals in tech. Full front-facing pose centered, tack-sharp linework, vibrant but not garish colors. Intended use: brand mascot / logo asset. No watermark, no extra text, no background clutter, no aggressive or intimidating features."
]
}Schema · Response
{
"type": "json",
"example": {
"run": {
"steps": [
{
"at": "",
"agent": "",
"action": ""
}
]
},
"prompts": [
""
]
}
}Tags
x402
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