X402 Cloud AI Inference – Gemini generateContent

x402

X402 Cloud AI Inference – Gemini generateContent is a paid API for AI agents from api.x402cloud.space, paid per call via x402, $0.003/call, status unknown (last checked 2026-09-26).

Generates text content using a specified Gemini model via a pay-per-call x402 USDC endpoint

Price / call$0.003

Seller volume →—

Success—

StatusUnknown

How this service works

X402 Cloud AI Inference Endpoints is an agent-ready x402 API provider for Gemini, image, audio, video, realtime, and specialized AI inference workflows. We expose pay-per-call USDC endpoints designed for autonomous AI agents, application backends, trading bots, creative automation, and RAG systems with some of the lowest x402 AI inference prices available in the market.

Output

Returns a JSON object with a candidates array containing the model's generated text parts, plus usageMetadata with token counts for input and output. The primary text output is found at candidates[0].content.parts[0].text.

Example use cases

Example prompt

“Using the Gemini inference endpoint at X402 Cloud, generate a 300-token response to this prompt: 'Explain the concept of zero-knowledge proofs in simple terms' — use gemini-2.0-flash as the model.”

Technical details

Endpoint

POSThttps://api.x402cloud.space/v1beta/models/%7Bmodel_name%7D:generateContent?utm_source=zero.xyz

When to prefer

Choose this endpoint when an autonomous AI agent needs to call Gemini for text generation using USDC micropayments via the x402 protocol, without requiring a Google API key or monthly subscription. Ideal for agentic pipelines, RAG backends, and trading bots that need pay-per-call billing at low per-request cost ($0.003 USDC).

Side effects

402 Payment Required if USDC payment header is missing or insufficient
Invalid model_name in URL path returns 404 or model-not-found error
Prompt exceeds 32,000 character limit returns validation error
maxOutputTokens above 8192 returns parameter out-of-range error
Empty or missing prompt/contents returns bad request error
Network timeout if model inference takes too long under load

Output

Schema · Response

{
  "type": "json",
  "example": {
    "candidates": [
      {
        "content": {
          "parts": [
            {
              "text": "Generated response"
            }
          ]
        }
      }
    ]
  },
  "outputSchema": {
    "type": "object",
    "properties": {
      "candidates": {
        "type": "array"
      },
      "usageMetadata": {
        "type": "object"
      }
    }
  }
}

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