FarOut Kimi K2.6 Chat Completions (x402 Pay-Per-Call)

Name: FarOut Kimi K2.6 Chat Completions (x402 Pay-Per-Call)
Price: 0.001 USD

x402

FarOut Kimi K2.6 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).

Calls the Kimi K2.6 frontier model for chat, reasoning, or coding tasks, billing $0.001 USDC per request over the x402 payment protocol with no API key or account required.

Price / call$0.001

Seller volume →—

Success—

StatusUnknown

How this service works

Fixed-price chat completions for kimi-k2.6 on FarOut: flat $0.001 per call (includes up to 4,000 input + 1,000 output tokens). Rate: $0.055/1M input tokens, $0.232/1M output tokens. Pay with USDC on Base using x402. No API key, no account, no prepaid balance.

Output

Returns an OpenAI-compatible JSON object containing one or more choices, each with an assistant message (role + content) and a finish_reason, plus a usage object reporting prompt_tokens and completion_tokens consumed.

Example use cases

Autonomous agent sub-task reasoning

“I need you to reason through a multi-step coding problem using Kimi K2.6 on FarOut — send it the system prompt 'You are an expert software architect' and the user message 'Design a rate-limiting strategy for a high-traffic API', allow up to 1024 tokens, and just pay the per-call fee in USDC.”

Keyless LLM access for one-off tasks

“I don't have an API key anywhere set up — can you call Kimi K2.6 through FarOut with the message 'Summarize the pros and cons of edge computing vs cloud computing in bullet points', max 300 tokens, temperature 0.5, and pay with USDC on Base?”

Streaming chat completions for live UI

“Send a streaming request to the Kimi K2.6 model via FarOut with the user message 'Write a short poem about autonomous AI agents discovering the internet', enable SSE streaming, and cap output at 200 tokens.”

Technical details

Endpoint

POSThttps://farouter.tech/v1/models/kimi-k2.6/chat/completions

When to prefer

Choose this endpoint when you need to call the Kimi K2.6 model specifically and want to avoid API key management or prepaid subscription overhead. It is ideal for autonomous agents that need pay-as-you-go LLM inference billed in USDC micropayments via x402, especially when operating without a persistent identity or account. Prefer this over managed LLM APIs when the calling agent already has a USDC wallet on Base and wants to pay only for actual usage.

Side effects

Insufficient USDC balance or x402 payment failure returns a 402 Payment Required response
Invalid or unsupported model ID returns a 400 or 404 error
messages array missing or empty triggers a validation error
max_tokens set too high may cause quota or timeout errors
Network or upstream model provider outage returns a 503 or 5xx error
Malformed message role (not in enum) causes a schema validation rejection

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"
      }
    ]
  }
}

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How this service works

Output

Example use cases

Autonomous agent sub-task reasoning

Keyless LLM access for one-off tasks

Streaming chat completions for live UI

Technical details

Endpoint

POSThttps://farouter.tech/v1/models/kimi-k2.6/chat/completions

When to prefer

Side effects

Insufficient USDC balance or x402 payment failure returns a 402 Payment Required response
Invalid or unsupported model ID returns a 400 or 404 error
messages array missing or empty triggers a validation error
max_tokens set too high may cause quota or timeout errors
Network or upstream model provider outage returns a 503 or 5xx error
Malformed message role (not in enum) causes a schema validation rejection

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"
      }
    ]
  }
}