Agent402 Gemini Pro – Pay-Per-Call Gemini API via x402

x402

Agent402 Gemini Pro – Pay-Per-Call Gemini API via x402 is a paid API for AI agents from agent402.tools, paid per call via x402, $0.1/call, status unknown (last checked 2026-10-15).

Calls Google Gemini models (e.g. gemini-2.5-flash) with full Gemini-native request format, billed per call via x402/USDC — no API key required.

Price / call$0.1

Seller volume →—

Success—

StatusUnknown

How this service works

Google's native generateContent wire on the pro 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-compatible JSON response with a `candidates` array (each containing content.role, content.parts[].text, and finishReason), the resolved `modelVersion` string, and `usageMetadata` with promptTokenCount, candidatesTokenCount, and totalTokenCount.

Example use cases

Keyless Gemini reasoning for agent pipeline

“I need you to send this multi-turn conversation to Gemini 2.5 Flash and get a response — I don't have a Google API key, so use the pay-per-call x402 route and charge my wallet.”

Structured JSON extraction with Gemini

“Use Gemini to extract the company name, date, and total amount from this invoice text and return a JSON object — set responseMimeType to application/json and define the schema with those three fields.”

Gemini function calling for agent tools

“Call Gemini Flash with these tool definitions — get_weather and search_web — pass my user message as the first turn, and let Gemini decide which function to call next.”

Technical details

Endpoint

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

When to prefer

Choose this endpoint when you need to call Google Gemini models (especially gemini-2.5-flash) using the native Gemini request format — including function calling, structured output via responseSchema, and system instructions — without registering for a Google API key. Ideal for AI agents that pay per inference using USDC/x402 micropayments and want zero-signup, keyless access to Gemini. Prefer it over OpenAI-compatible endpoints when your agent already constructs Gemini-native `contents` arrays with `role`/`parts` formatting.

Side effects

Payment not received or insufficient USDC balance — 402 Payment Required returned before generation
Invalid or unsupported model name in path — 400 or 404 error
Malformed `contents` array (missing role or parts) — 400 validation error
Tool definitions with invalid parameter schemas — model may ignore tools or return error
Token limit exceeded in generationConfig — response truncated or 400 error
Network timeout on large outputs or slow model variants

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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