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Agent402 Metered Gemini Inference
x402
Agent402 Metered Gemini Inference is a paid API for AI agents from agent402.tools, paid per call via x402, $0.001/call, status unknown (last checked 2026-10-02).
Run pay-per-call Google Gemini inference over x402 micropayments with no API key or signup required
Price / call$0.001
Success—
StatusUnknown
How this service works
Google's generateContent wire priced from the request itself: the 402 quotes this exact body, from $0.001, with upto buyers settling actual usage. Use it when an agent built on the Gemini SDK needs a supported model paid per call without an API key.
Output
A JSON object matching the Gemini generateContent response shape: an array of candidates each containing the model's generated content parts (text), a finishReason (e.g. STOP), plus usageMetadata with promptTokenCount, candidatesTokenCount, and totalTokenCount, and the modelVersion string.
Example use cases
Agentic tool-use reasoning loop
“I'm building an agent that needs to call Gemini with function declarations so it can decide when to use external tools — can you send a request to Agent402's metered Gemini endpoint with my tool schemas and the latest conversation turns, paying per call?”
No-signup Gemini prototyping
“I want to try out Gemini 2.5 Flash right now without signing up for Google Cloud — can you call Agent402's pay-per-call Gemini endpoint with my prompt and a system instruction saying 'you are a concise technical assistant'?”
Structured JSON output generation
“Send a Gemini request through Agent402 that returns a JSON object matching my schema — I need it to extract the product name, price, and category from this product description text, using responseMimeType application/json.”
Technical details
Endpoint
POSThttps://agent402.tools/v1/metered/gemini?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need Google Gemini inference inside an AI agent that uses x402 micropayment protocol, want zero-signup pay-per-call billing in USDC, or are building agentic workflows that require Gemini's function-calling or structured output features without managing Google Cloud credentials. Prefer this over direct Gemini API when operating in a trustless or multi-agent environment where per-call payment settlement is required.
Side effects
- Insufficient USDC balance or failed x402 payment results in 402 Payment Required
- Invalid model path or unsupported model name returns 400 or 404
- Malformed contents array (wrong role or parts structure) causes a 400 validation error
- Exceeding maxOutputTokens or context window limits triggers a finishReason of MAX_TOKENS
- Rate limiting on the underlying Gemini API may return 429
- Missing or empty contents field returns a schema validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| model | string | Optional; the Google-shaped path carries it (/v1beta/models/<model>:generateContent) |
| tools | array | [{functionDeclarations:[{name, description, parameters}]}] |
| contents | array | Gemini turns: [{role, parts:[{text}|{inlineData}]}] |
| generationConfig | object | maxOutputTokens, temperature, topP, stopSequences, responseMimeType, responseSchema |
| systemInstruction | object | Optional system turn: {parts:[{text}]} |
Output
Schema · Response
{
"type": "json",
"example": {
"candidates": [
{
"index": 0,
"content": {
"role": "model",
"parts": [
{
"text": "x402 is an HTTP-native way for agents to pay per request with USDC."
}
]
},
"finishReason": "STOP"
}
],
"modelVersion": "google/gemini-3.5-flash-lite",
"usageMetadata": {
"totalTokenCount": 32,
"promptTokenCount": 14,
"candidatesTokenCount": 18
}
}
}Tags
x402
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