# DeepSeek R1 Reasoning Model API (Pay-Per-Call)

> DeepSeek R1 Reasoning Model API (Pay-Per-Call) is a paid API for AI agents from agent-data-tools.revmesh2074.workers.dev, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-30).

Sends a prompt to DeepSeek R1 (distilled into Qwen 32B) and returns the model's answer, with reasoning traces stripped, via a single paid HTTP call.

## Facts

- Endpoint: GET https://agent-data-tools.revmesh2074.workers.dev/ai/model/deepseek-r1?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-30
- Activations on Zero: 0
- Provider: agent-data-tools.revmesh2074.workers.dev
- Website: https://agent-data-tools.revmesh2074.workers.dev
- Tags: x402
- Canonical page: https://www.zero.xyz/c/agent-data-tools-revmesh2074-workers-dev-deepseek-r1-reasoning-model-4334a8ca
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_TBWKxUTXktBB_5MrPri2a

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability agent-data-tools-revmesh2074-workers-dev-deepseek-r1-reasoning-model-4334a8ca
```

Example prompt: Ask DeepSeek R1 to work through this logic puzzle step by step and give me the final answer: 'A farmer has 17 sheep, all but 9 die — how many are left?' Use a temperature of 0.6 and keep the response under 500 tokens.

## When to prefer this

Choose this endpoint when an agent or user explicitly wants the DeepSeek R1 model by name, needs a strong reasoning-capable LLM without setting up a provider account or API key, and wants predictable $0.01 per-call pricing. Prefer it over generic LLM endpoints when the task benefits from chain-of-thought reasoning (math, logic, planning) and the caller needs OpenAI-compatible fallback via /v1/chat/completions.

## Known failure modes

- Prompt exceeds 8,000 characters — request rejected
- maxTokens out of range (must be 1–2048) — validation error
- Temperature outside 0–1.5 — parameter error
- Insufficient prepaid credits or payment failure — 402 response with no charge
- Model inference timeout for very complex prompts — no charge on failure
- Empty or missing prompt field — required parameter error

## How this service works

Chat with DeepSeek's R1 reasoning model distilled into Qwen 32B (MIT) through one paid HTTP call: send a prompt and an optional system prompt, get the answer, up to 2,048 output tokens; its reasoning is removed from the answer. Also reachable as model "deepseek-r1" on the OpenAI-compatible /v1/chat/completions. No account or provider key. Use when an agent wants this model by name.

## Output

A JSON object containing the model name (e.g. 'deepseek-r1') and a 'response' string with the model's final answer text. Internal chain-of-thought reasoning is stripped and not included in the response.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "required": [
  "prompt"
 ],
 "properties": {
  "prompt": {
   "type": "string",
   "description": "User prompt, up to 8,000 characters"
  },
  "system": {
   "type": "string",
   "description": "Optional system prompt, up to 2,000 characters"
  },
  "maxTokens": {
   "type": "integer",
   "description": "Maximum output tokens, 1-2048 (default 1500)"
  },
  "temperature": {
   "type": "number",
   "description": "0-1.5 (default 0.6)"
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "model": {
   "type": "string"
  },
  "response": {
   "type": "string"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/agent-data-tools-revmesh2074-workers-dev-deepseek-r1-reasoning-model-4334a8ca/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from agent-data-tools.revmesh2074.workers.dev](https://www.zero.xyz/host/agent-data-tools.revmesh2074.workers.dev/llms.txt)