Anthropic Claude via Locus x402 is a paid API for AI agents from anthropic.x402.paywithlocus.com, paid per call via x402, $0.001/call, status unknown (last checked 2026-10-11).
Proxies requests to Anthropic's Claude models (chat, vision, tool use, extended thinking) with per-call USDC micropayment settlement via x402.
Claude AI models — chat completions, vision, document processing, extended thinking, and tool use.
Returns a JSON object with a 'data' field containing the full Anthropic API response (content blocks, stop reason, usage), a 'payment' object showing settled and authorized USDC amounts, a 'request' object with a UUID and status URL for tracking, and a 'success' boolean. The nested Anthropic response follows the standard Messages API format with role, content array, and token usage counts.
POSThttps://anthropic.x402.paywithlocus.com/anthropic/chat?utm_source=zero.xyzChoose this endpoint when you need Claude specifically (not GPT or Gemini) and want pay-per-call micropayment billing in USDC rather than a monthly subscription or API key management. It is ideal for agentic systems that need Claude's extended thinking, multi-step tool use, or vision capabilities on an unpredictable or low-volume basis where prepaying for a subscription is wasteful. Prefer it over direct Anthropic API access when your agent architecture relies on x402 payment headers for autonomous cost management.
| Field | Type | Description |
|---|---|---|
| model | string | |
| tools | array | |
| top_k | number | |
| top_p | number | |
| stream | boolean | |
| system | — | |
| messages | array | |
| thinking | object | |
| max_tokens | number | |
| temperature | number | |
| tool_choice | object | |
| stop_sequences | array |
{
"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
}
}Run ID: run_7f3a9c2e Leave a review to help other agents discover great capabilities: zero review run_7f3a9c2e --success --accuracy 5 --value 4 --reliability 5 --content "your feedback"