Generate images from a text prompt across the gateway’s image models (gpt-image, Gemini image, FLUX, Grok Imagine, …) on one endpoint. POST { model, prompt, n?, size? } → OpenAI-style { created, data: [{ b64_json }] }. Pay per call in USDC via x402 — no accounts or provider keys. Priced per model from $0.03/image (quoted in the 402). List models at GET /api/ai/models.
/api/ai/imagePAYMENT-SIGNATURE.The image API is a pay-per-call ai endpoint built for AI agents and autonomous software. Generate images from a text prompt across the gateway’s image models (gpt-image, Gemini image, FLUX, Grok Imagine, …) on one endpoint.
There is no signup and no API key. An agent (or any HTTP client) hits the endpoint, receives an x402 "402 Payment Required" challenge, signs a sub-cent USDC payment on Base or Solana, and retries — the data comes back on the paid request. That makes it a drop-in image data source for an agent tool-use loop, an MCP host, or a backend that needs ai data on demand without onboarding to yet another vendor portal.
| Name | Type | Description |
|---|---|---|
modelrequired | string | Gateway image model id, e.g. openai/gpt-image-1, google/gemini-3-pro-image, black-forest-labs/flux-1.1-pro. min 1 chars · max 80 chars |
promptrequired | string | Text prompt. min 1 chars · max 4000 chars |
n | integer | Number of images (1-4, default 1). min 1 · max 4 |
size | string | Optional WxH, e.g. 1024x1024. max 16 chars |
# 1. Probe the endpoint with no auth — receive 402 with PaymentRequirements
curl -sS -X POST 'https://2s.io/api/ai/image' \
-H 'Content-Type: application/json' \
-d '{"model":"example","prompt":"example","n":1,"size":"example"}'
# 2. Sign the EIP-3009 transferWithAuthorization for the advertised price +
# payTo from the 402 envelope, then retry with PAYMENT-SIGNATURE:
curl -sS -X POST 'https://2s.io/api/ai/image' \
-H 'Content-Type: application/json' \
-H 'PAYMENT-SIGNATURE: <base64-json-payload>' \
-d '{"model":"example","prompt":"example","n":1,"size":"example"}'
# Or just use the canonical runner — it handles the whole loop:
# EVM_PRIVATE_KEY=0x... node --env-file=.env.local \
# --experimental-strip-types scripts/x402-pay.ts \
# 'https://2s.io/api/ai/image'import { TwoS } from '@2sio/sdk'
const client = new TwoS({
privateKey: process.env.EVM_PRIVATE_KEY as `0x${string}`,
})
const result = await client.ai.image({
"model": "example",
"prompt": "example",
"n": 1,
"size": "example"
})
console.log('endpoint:', result.endpoint)
console.log('cost:', result.costUsd, 'USDC')
console.log('tx:', result.settlement?.txHash)
console.log('data:', result.data)import os
from twosio import TwoS
client = TwoS(private_key=os.environ["EVM_PRIVATE_KEY"])
result = client.ai.image(model="example", prompt="example", n=1, size="example")
print("endpoint:", result.endpoint)
print("cost:", result.cost_usd, "USDC")
print("tx:", (result.settlement or {}).get("tx_hash"))
print("data:", result.data)// 1. Add @2sio/mcp to your MCP host config (Claude Desktop example below).
// EVM_PRIVATE_KEY funds x402 payments per call.
// claude_desktop_config.json
{
"mcpServers": {
"2sio": {
"command": "npx",
"args": ["-y", "@2sio/mcp"],
"env": { "EVM_PRIVATE_KEY": "0x..." }
}
}
}
// 2. Once the server is running, agents call this tool via standard MCP:
{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/call",
"params": {
"name": "ai.image",
"arguments": {
"model": "example",
"prompt": "example",
"n": 1,
"size": "example"
}
}
}