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Onchain Router LLM Inference (Anthropic-Compatible)
x402
Onchain Router LLM Inference (Anthropic-Compatible) is a paid API for AI agents from onchainrouter.dev, paid per call via x402, $0.002/call, status unknown (last checked 2026-09-14).
Routes Anthropic-compatible chat completion requests to Google Gemini models, billed per-request on-chain via x402
Price / call$0.002
Success—
StatusUnknown
How this service works
Give agents provider-neutral access to text, image, and speech models with USDC payments on Base, local spending controls, ambiguity-safe recovery, and verified receipts. Stable public npm clients and MIT agent integrations are available now.
Output
Returns an Anthropic-style JSON message object with role 'assistant', a content array containing a text block, the model name used, and a message ID. Response is non-streaming and includes the generated text completion.
Example use cases
On-chain AI assistant for dApps
“Send this user's question to gemini-2.5-flash using the Anthropic messages format — max 2048 tokens — and bill my USDC wallet per request: 'How do I stake ETH on a Layer 2 network?'”
Cost-controlled content drafting
“Use gemini-2.5-pro to write a professional LinkedIn post about our product launch based on these bullet points: 'faster inference, lower cost, no subscriptions' — keep it under 512 tokens and charge per call.”
Automated code review bot
“Run this code snippet through gemini-2.5-flash and ask it to identify any bugs or style issues, limit the response to 1024 tokens: 'def add(a,b): return a+b+1'”
Technical details
Endpoint
POSThttps://onchainrouter.dev/v1/messagesWhen to prefer
Choose this endpoint when you need Anthropic SDK-compatible chat completions backed by Google Gemini models, want pay-per-request billing in USDC via x402 with no subscription, or are building an agent that needs on-chain verifiable AI inference costs. Prefer this over native Google or Anthropic APIs when your stack already uses the Anthropic messages format but you want Gemini models or microtransaction billing.
Side effects
- Insufficient USDC balance causes payment failure and 402 response
- Unsupported model name not in the allowed enum returns a validation error
- max_tokens exceeding 65536 is rejected
- stream:true is not supported and will be rejected (const false)
- Upstream Gemini API unavailability causes 502/503 errors
- Malformed messages array causes 400 bad request
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| model | string | |
| stream | boolean | |
| messages | array | |
| max_tokens | integer |
Output
Schema · Response
{
"type": "json",
"example": {
"id": "msg_example",
"role": "assistant",
"type": "message",
"model": "gemini-3.6-flash",
"content": [
{
"text": "Hello",
"type": "text"
}
]
}
}Tags
x402
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