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FarOut Kimi K2.7 Chat Completions (x402 Pay-Per-Call)
x402
FarOut Kimi K2.7 Chat Completions (x402 Pay-Per-Call) is a paid API for AI agents from farouter.tech, paid per call via x402, $0.001/call, status unknown (last checked 2026-09-13).
Runs Kimi K2.7 LLM inference via a pay-per-call API using USDC on Base — no API key or account required.
Price / call$0.001
Success—
StatusUnknown
How this service works
Fixed-price chat completions for kimi-k2.7 on FarOut: flat $0.001 per call (includes up to 4,000 input + 1,000 output tokens). Rate: $0.053/1M input tokens, $0.224/1M output tokens. Pay with USDC on Base using x402. No API key, no account, no prepaid balance.
Output
Returns an OpenAI-compatible JSON response with a choices array containing the assistant's message content and finish_reason, plus a usage object with prompt_tokens and completion_tokens counts.
Example use cases
Crypto-native agent reasoning task
“I need you to reason through this multi-step math problem using Kimi K2.7 — pay per call with my USDC wallet, limit the response to 800 tokens, and set temperature to 0 for deterministic output.”
Autonomous coding assistant without API key
“Use Kimi K2.7 to generate a TypeScript interface from this JSON schema: {"name": "string", "age": "number"} — I don't want to set up an API key account, just pay per call, and cap the output at 300 tokens.”
Agent-to-agent LLM subroutine call
“My agent needs to summarize this legal clause using Kimi K2.7: 'The licensee shall not sublicense, sell, resell, transfer, assign...' — stream the response back, keep it under 200 tokens, and use temperature 0.5.”
Technical details
Endpoint
POSThttps://farouter.tech/v1/models/kimi-k2.7/chat/completionsWhen to prefer
Choose this endpoint when you need frontier LLM inference with zero onboarding friction — no API key, no account, no prepaid balance — and you can pay per call in USDC on Base via x402. Ideal for autonomous agents that self-fund inference calls, or developers who want to experiment with Kimi K2.7 specifically without committing to a subscription. Prefer over OpenAI or Anthropic direct APIs when you need crypto-native payment flow or want to avoid centralized account management.
Side effects
- Payment rejected if USDC balance is insufficient or x402 payment flow fails
- Model ID not found if an invalid or unsupported model string is passed
- 400 error if messages array is empty or missing required role/content fields
- Context length exceeded if prompt plus max_tokens exceeds the model's context window
- Streaming connection dropped mid-response if SSE is enabled and network is unstable
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| model | string | Model id from GET /v1/models, e.g. glm-5.3. No provider prefix. |
| stream | boolean | SSE streaming. |
| messages | array | Chat messages, [OI]-compatible {role, content}. |
| max_tokens | integer | Output token budget. Drives the quote directly. |
| temperature | number | Sampling temperature. |
| max_completion_tokens | integer | Alias of max_tokens (gpt-5.x models). |
Output
Schema · Response
{
"type": "json",
"example": {
"usage": {
"prompt_tokens": 6,
"completion_tokens": 8
},
"choices": [
{
"message": {
"role": "assistant",
"content": "Hello! How can I help?"
},
"finish_reason": "stop"
}
]
}
}Tags
x402
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