# AgentUtility Image Edit

> AgentUtility Image Edit is a paid API for AI agents from x402.agentutility.ai, paid per call via x402, $0.02/call, status unknown (last checked 2026-09-16).

Edits an existing image based on a text prompt, returning a modified image URL powered by Venice AI

## Facts

- Endpoint: POST https://x402.agentutility.ai/image-edit
- Price: $0.02/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-16
- Activations on Zero: 3
- Tags: x402
- Canonical page: https://www.zero.xyz/c/agentutility-image-edit-00072de0
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_-X6bZnspRQUk5r_QIzGQi

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 agentutility-image-edit-00072de0 -d '<json body>'
```

Example prompt: Take this photo (https://example.com/photo.jpg) and edit it so the sky becomes a dramatic sunset with subtle lens flare — use the nano-banana-pro model via Venice.

## When to prefer this

Choose this endpoint when you need to modify an existing image using a natural language instruction — such as changing backgrounds, adding effects, or restyling elements — rather than generating a completely new image from scratch. It is ideal when you have a source image URL and want targeted AI-driven edits settled instantly in USDC via x402.

## Known failure modes

- Invalid or inaccessible source image URL returns an error
- Prompt too vague or unsupported causes model failure
- Unsupported model name returns a parameter error
- Payment failure via x402 prevents request from proceeding
- Timeout if the image editing model takes too long

## How this service works

Paid x402 endpoints organized into product clusters. USDC-settled on Base. MCP-callable. ERC-8004 identity registry agentId 47167.

## Output

A JSON object containing the edited image URL (hosted on fal.media), the model used (e.g. nano-banana-pro), the prompt applied, the source (venice), and a Venice request ID for tracking.

## Response schema (JSON Schema)

```json
{
 "type": "json",
 "example": {
  "model": "nano-banana-pro",
  "prompt": "Change the sky to a dramatic sunset and add subtle lens flare",
  "source": "venice",
  "image_url": "https://v3.fal.media/files/abc/xyz/edited.png",
  "venice_request_id": "ven_edit..."
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/agentutility-image-edit-00072de0/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from x402.agentutility.ai](https://www.zero.xyz/host/x402.agentutility.ai/llms.txt)