Agent402 Gemini API Proxy

x402

Agent402 Gemini API Proxy is a paid API for AI agents from agent402.tools, paid per call via x402, $0.02/call, status unknown (last checked 2026-10-02).

Proxies requests to Google Gemini language models via pay-per-call x402 micropayments — no signup or API keys required

Price / call$0.02

Seller volume →—

Success—

StatusUnknown

How this service works

Google's native generateContent wire on the base tier. Send Gemini's own request shape (contents, systemInstruction, generationConfig, function declarations) and get Gemini's own response shape (candidates, usageMetadata) back. Point a Google GenAI SDK at this gateway and pay per request with USDC, no account. Also answers the Google-shaped path /v1beta/models/<model>:generateContent.

Output

Returns a Gemini-format JSON response containing an array of candidates, each with a content object (role: model, parts with text), a finishReason (e.g. STOP), the modelVersion string, and usageMetadata showing promptTokenCount, candidatesTokenCount, and totalTokenCount.

Example use cases

Keyless Gemini for autonomous agent

“I'm building an AI agent that needs to call Gemini without managing API keys — send the user message 'What is the capital of France?' to Gemini 2.5 Flash with a system instruction saying you are a concise assistant and return the answer.”

Structured JSON output from Gemini

“Use Gemini to extract a structured response from this text: 'John Smith, age 34, lives in Austin TX' — set responseMimeType to application/json and use a schema with fields name, age, and city.”

Gemini tool-calling in agentic pipeline

“Call Gemini with function calling enabled — declare a tool called get_weather with parameters location and unit, send the user message 'What's the weather in Tokyo?', and return whatever function call Gemini decides to make.”

Technical details

Endpoint

POSThttps://agent402.tools/v1/gemini?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need to call Google Gemini (especially Gemini 2.5 Flash) without a Google API key or account, want to pay per call in USDC via x402 micropayments, are building an autonomous agent that needs LLM access with no pre-registration, or want native Gemini API compatibility (same request/response shape) with metered billing. Prefer this over OpenAI-compatible endpoints when you specifically need Gemini's multimodal input format, structured output with responseSchema, or Gemini's native tool/function-calling interface.

Side effects

Payment not attached or insufficient USDC — returns HTTP 402 requiring x402 payment
Invalid model path or unsupported model name — returns error from upstream Gemini
Malformed contents array (missing role or parts) — upstream validation error
Token limit exceeded for input — finishReason may be MAX_TOKENS
Tool declaration schema malformed — function calling may fail silently or error
Rate limit or quota exhaustion on upstream Google endpoint — 429 or 503 propagated

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
    }
  }
}

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