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three.ws LLM Proxy (x402)
x402
three.ws LLM Proxy (x402) is a paid API for AI agents from three.ws, paid per call via x402, $0.005/call, status unknown (last checked 2026-10-12).
Routes a text prompt to a fast or smart LLM model and returns a signed inference response with metering metadata, billed per call via x402 micropayments.
Price / call$0.005
Success—
StatusUnknown
How this service works
Make a 3D AI agent from a selfie in 60 seconds. Drop one HTML tag to embed it on any website. Agents think on IBM watsonx.ai (Granite); optionally charge per chat with built-in micropayments.
Output
A JSON object containing the generated text content, the model used, a unique job ID, detailed token usage (input/output/total), latency in milliseconds, the provider name, a SHA-256 hash of the prompt and response, a cryptographic response signature, and a structured inference receipt object for auditability.
Example use cases
Pay-per-call AI chatbot backend
“Call the three.ws LLM proxy with the smart Anthropic Haiku model, max 1024 tokens, and answer this user question: 'What are the top five causes of climate change and what can individuals do about them?'”
Verifiable inference for audit trail
“Send this compliance question to the three.ws fast LLM proxy and give me back the signed inference receipt and job ID so I can log it: 'Does this privacy policy clause comply with GDPR Article 13?'”
Low-cost bulk prompt processing
“Run this classification prompt through the three.ws fast Groq model with max 64 tokens and tell me the result: 'Label the following customer message as complaint, inquiry, or compliment: I waited 45 minutes and nobody helped me.'”
Technical details
Endpoint
POSThttps://three.ws/api/x402/llm-proxy?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need per-call metered LLM inference billed via USDC micropayments (x402 protocol), especially when you require a cryptographically signed and auditable inference receipt. Prefer the 'fast' (Groq) option for low-latency tasks and 'smart' (Anthropic Haiku) for higher reasoning quality. Best suited for agents that need to pay only for what they use without a subscription, or that need verifiable proof of inference for compliance or logging purposes.
Side effects
- Payment not provided or invalid x402 header — returns 402 Payment Required
- Prompt exceeds 4000 character limit — validation error
- max_tokens out of range (must be 1-2048) — validation error
- Model string unrecognized — may fall back to default or return error
- Groq or Anthropic upstream timeout — latency spike or 503
- Empty or missing prompt field — returns 400 Bad Request
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| model | string | "fast" (default, Groq), "smart" (Anthropic Haiku), or a specific model string. |
| prompt | string | The user prompt to complete. |
| max_tokens | integer | Maximum tokens to generate. |
Output
Schema · Response
{
"type": "json",
"example": {
"model": "llama-3.3-70b-versatile",
"job_id": "9b2f1c4e-…",
"content": "1, 2, 3.",
"metering": {
"type": "three-inference-response/v1",
"jobId": "9b2f1c4e-…",
"model": "llama-3.3-70b-versatile",
"route": "/api/x402/llm-proxy",
"provider": "groq",
"latencyMs": 312,
"tokensUsed": 11,
"inputTokens": 5,
"outputTokens": 6,
"promptSha256": "a1b2…",
"responseSha256": "c3d4…"
},
"provider": "groq",
"latency_ms": 312,
"tokens_used": 11,
"input_tokens": 5,
"output_tokens": 6,
"response_signer": "NodePub…",
"inferenceReceipt": {
"receiptType": "three-inference-receipt/v1"
},
"response_signature": "4xY…"
}
}Tags
x402
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