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Gondola Image Generation (Venice AI via USDC on Base)
x402
Gondola Image Generation (Venice AI via USDC on Base) is a paid API for AI agents from api.gondola-ai.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-14).
Generates AI images using Venice-compatible models via the Gondola marketplace, billed at $0.01 USDC per call on Base chain
Price / call$0.01
Success—
StatusUnknown
How this service works
Gondola is a marketplace for Venice AI inference: cheap, OpenAI-compatible models paid in USDC on Base, funded by DIEM holders earning on idle compute.
Output
Returns a JSON object with a 'created' Unix timestamp and a 'data' array containing the generated image(s), following the OpenAI images/generations response format.
Example use cases
Crypto-native app image generation
“I'm building a dApp and need to generate a fantasy character portrait from the prompt 'a warrior elf with golden armor standing on a cliff at dusk' — use Gondola so I can pay in USDC on Base and keep costs low.”
Budget AI art for indie creators
“Can you generate an image of a cozy coffee shop interior with warm lighting and exposed brick walls? I want to use Gondola since it's cheaper than the main APIs and I can pay with USDC.”
Automated image pipeline with micropayments
“Generate a product illustration from the description 'a sleek minimalist wireless speaker on a white background' using the Gondola image endpoint so each call is charged in USDC at a fraction of a cent.”
Technical details
Endpoint
POSThttps://api.gondola-ai.com/v1/images/generationsWhen to prefer
Choose this endpoint when you need OpenAI-compatible image generation at lower cost, are willing to pay in USDC on Base blockchain, or want to leverage Venice AI models without paying full OpenAI prices. Ideal for crypto-native agents, dApps, and workflows already using the x402 micropayment protocol on Base.
Side effects
- Insufficient USDC balance on Base chain causes payment failure and 402 response
- Invalid or missing prompt body returns a 400 bad request error
- Venice model unavailability causes upstream inference errors
- Rate limiting or capacity constraints from the marketplace return 429 or 503 errors
- Malformed JSON body results in parsing errors
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"data": [
{
"b64_json": "<base64 png bytes>"
}
],
"created": 1756684800
}
}Tags
x402
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Zero review prompt (fires after every successful call)
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