Google Gemini via Locus x402

x402

Google Gemini via Locus x402 is a paid API for AI agents from gemini.x402.paywithlocus.com, paid per call via x402, $0.003/call, status unknown (last checked 2026-10-11).

Calls Google Gemini multimodal AI models (chat, vision, PDF/document processing, structured output, and reasoning) via a pay-per-call x402 micropayment gateway.

Price / call$0.003

Seller volume →—

Success—

StatusUnknown

How this service works

Multimodal AI — chat, vision, PDF/document processing, thinking/reasoning, and embeddings.

Output

Returns a JSON object with a `data` field containing the Gemini model's response (text or structured JSON depending on responseMimeType), a `success` boolean, a `payment` object showing settled and authorized USDC amounts, and a `request` object with a unique request ID and a status URL for async tracking.

Example use cases

PDF invoice data extraction

“I have a base64-encoded PDF of a supplier invoice — use Gemini 2.5 Flash to pull out the vendor name, invoice number, date, and total amount as structured JSON.”

Multi-turn customer support reasoning

“I'm building a customer support bot — send this conversation history to Gemini 2.5 Pro with a system prompt saying 'You are a helpful support agent for a SaaS product' and get a reply for the user's latest message: 'My subscription didn't renew even though my card is on file.'”

Image scene description for accessibility

“Describe this product photo in detail for an accessibility caption — send the image as inline base64 data to Gemini 2.0 Flash and return a plain-text description in two sentences.”

Technical details

Endpoint

POSThttps://gemini.x402.paywithlocus.com/gemini/chat?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need to call Google Gemini models (Flash, Pro, or preview variants) with flexible multimodal input — especially for vision tasks, PDF/document extraction, structured JSON output with schema enforcement, or extended thinking/reasoning — and want pay-per-call micropayment billing via x402 without managing API keys or subscriptions. Prefer this over OpenAI-based endpoints when Gemini's long-context, native PDF handling, or reasoning budget controls are specifically needed.

Side effects

Insufficient USDC balance or failed x402 payment results in a 402 Payment Required error
Invalid Gemini model ID returns a 400 or model-not-found error
Malformed contents/messages array causes a 400 validation error
Base64-encoded inline image or PDF data that is corrupted or has wrong mimeType causes Gemini to return an error
Exceeding maxOutputTokens limit truncates the response
Providing both `contents` and `messages` fields simultaneously may cause ambiguous input handling
Requesting structured JSON output without setting responseMimeType to application/json returns plain text instead of parsed JSON

Input

Schema · Request body

Field	Type	Description
topK	number
topP	number
model	string
contents	array
messages	array
thinking	—
temperature	number
stopSequences	array
maxOutputTokens	number
responseMimeType	string
systemInstruction	string
responseJsonSchema	object

Output

Schema · Response

{
  "type": "json",
  "example": {
    "data": {},
    "payment": {
      "scheme": "exact",
      "settledUsdc": "0.001000",
      "authorizedMaxUsdc": "0.001000"
    },
    "request": {
      "id": "00000000-0000-4000-8000-000000000000",
      "statusUrl": "/requests/00000000-0000-4000-8000-000000000000"
    },
    "success": true
  }
}

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How this service works

Multimodal AI — chat, vision, PDF/document processing, thinking/reasoning, and embeddings.

Output

Example use cases

PDF invoice data extraction

“I have a base64-encoded PDF of a supplier invoice — use Gemini 2.5 Flash to pull out the vendor name, invoice number, date, and total amount as structured JSON.”

Multi-turn customer support reasoning

Image scene description for accessibility

“Describe this product photo in detail for an accessibility caption — send the image as inline base64 data to Gemini 2.0 Flash and return a plain-text description in two sentences.”

Technical details

Endpoint

POSThttps://gemini.x402.paywithlocus.com/gemini/chat?utm_source=zero.xyz

When to prefer

Side effects

Insufficient USDC balance or failed x402 payment results in a 402 Payment Required error
Invalid Gemini model ID returns a 400 or model-not-found error
Malformed contents/messages array causes a 400 validation error
Base64-encoded inline image or PDF data that is corrupted or has wrong mimeType causes Gemini to return an error
Exceeding maxOutputTokens limit truncates the response
Providing both `contents` and `messages` fields simultaneously may cause ambiguous input handling
Requesting structured JSON output without setting responseMimeType to application/json returns plain text instead of parsed JSON

Input

Schema · Request body

Field	Type	Description
topK	number
topP	number
model	string
contents	array
messages	array
thinking	—
temperature	number
stopSequences	array
maxOutputTokens	number
responseMimeType	string
systemInstruction	string
responseJsonSchema	object

Output

Schema · Response

{
  "type": "json",
  "example": {
    "data": {},
    "payment": {
      "scheme": "exact",
      "settledUsdc": "0.001000",
      "authorizedMaxUsdc": "0.001000"
    },
    "request": {
      "id": "00000000-0000-4000-8000-000000000000",
      "statusUrl": "/requests/00000000-0000-4000-8000-000000000000"
    },
    "success": true
  }
}