FarOut DeepSeek V4 Flash Chat Completions via x402

x402

FarOut DeepSeek V4 Flash Chat Completions via x402 is a paid API for AI agents from farouter.tech, paid per call via x402, $0.002/call, status unknown (last checked 2026-09-15).

Run chat/reasoning/coding inference against DeepSeek V4 Flash (and other frontier models) with per-call USDC micropayment on Base — no API key or account required.

Price / call$0.002

Seller volume →—

Success—

StatusUnknown

How this service works

Fixed-price chat completions for deepseek-v4-flash on FarOut: flat $0.002 per call (includes up to 4,000 input + 1,000 output tokens). Rate: $0.023/1M input tokens, $0.069/1M output tokens. Pay with USDC on Base using x402. No API key, no account, no prepaid balance.

Output

A JSON object containing an array of choices, each with an assistant message (role + content), a finish_reason (e.g. 'stop'), and a usage object reporting prompt_tokens and completion_tokens consumed.

Example use cases

Autonomous agent reasoning loop

“I'm building an agent that needs to reason through multi-step tasks without me setting up accounts anywhere — use DeepSeek V4 Flash to think through this problem: 'Given a user's calendar and a list of tasks, propose an optimal schedule for tomorrow.' Give it up to 1024 tokens to think, temperature 0.3.”

Pay-per-call code generation

“Generate a TypeScript function that validates an Ethereum address and returns a checksummed version — use DeepSeek V4 Flash, max 256 tokens, temperature 0, and just pay per request with USDC so I don't need to top up any balance.”

No-account AI chat for a demo app

“My demo app needs to call an LLM for chat without managing API keys or accounts — send these messages to DeepSeek V4 Flash with a 512-token budget and stream the response back to the user.”

Technical details

Endpoint

POSThttps://farouter.tech/v1/models/deepseek-v4-flash/chat/completions

When to prefer

Choose this endpoint when your agent needs LLM inference with zero onboarding friction — no API key, no account, no prepaid credit — and can settle per-call in USDC on Base via x402. It's ideal for autonomous agents operating in trustless environments, demo apps avoiding credential management, or workflows that want pay-as-you-go economics at $0.001/call. Prefer it over OpenAI or Anthropic direct APIs when you want crypto-native micropayment settlement or when you specifically need DeepSeek V4 Flash's reasoning/coding profile at low cost.

Side effects

Payment insufficient or x402 micropayment rejected — request fails before inference runs
Invalid or unsupported model ID — returns error listing valid model IDs from GET /v1/models
max_tokens too large for the model's context window — returns a validation error
Network timeout or upstream model provider outage — gateway returns 5xx
Malformed messages array (missing role or content) — schema validation error returned

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. Sets your spending cap; actual usage is what gets settled (true-up).
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 reasoning loop

Pay-per-call code generation

No-account AI chat for a demo app

“My demo app needs to call an LLM for chat without managing API keys or accounts — send these messages to DeepSeek V4 Flash with a 512-token budget and stream the response back to the user.”

Technical details

Endpoint

POSThttps://farouter.tech/v1/models/deepseek-v4-flash/chat/completions

When to prefer

Side effects

Payment insufficient or x402 micropayment rejected — request fails before inference runs
Invalid or unsupported model ID — returns error listing valid model IDs from GET /v1/models
max_tokens too large for the model's context window — returns a validation error
Network timeout or upstream model provider outage — gateway returns 5xx
Malformed messages array (missing role or content) — schema validation error returned

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. Sets your spending cap; actual usage is what gets settled (true-up).
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"
      }
    ]
  }
}