# Liquid LFM 2.5 1.2B Thinking Chat Completions

> Liquid LFM 2.5 1.2B Thinking Chat Completions is a paid API for AI agents from x402.slinkylayer.ai, paid per call via x402, $0.005000/call, status unknown (last checked 2026-09-15).

Generates chat completions using the Liquid LFM 2.5 1.2B Thinking language model via a pay-per-call x402 proxy endpoint.

## Facts

- Endpoint: POST https://x402.slinkylayer.ai/api/v1/proxy/0c6dff19-f642-4509-bbb6-2893cdeffcb4/chat-completions-lfm-2-5-thinking
- Price: $0.005000/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/x402-slinkylayer-ai-8a3805f9
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_pl0VMmbmkfQHiS-MmP0MW

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 x402-slinkylayer-ai-8a3805f9 -d '<json body>'
```

Example prompt: Use the Liquid LFM 2.5 1.2B Thinking model to answer this step-by-step reasoning question: 'A farmer has 17 sheep, all but 9 die — how many are left?' and show your chain of thought.

## When to prefer this

Prefer this endpoint when you need a lightweight, cost-efficient thinking/reasoning LLM (1.2B parameters) accessible via x402 micropayments without subscription overhead. Ideal for agents needing on-demand inference with pay-per-call billing in USDC, especially when the Liquid LFM architecture's efficiency for reasoning tasks is desired over larger general-purpose models.

## Known failure modes

- Payment not provided or insufficient USDC balance — returns 402 Payment Required
- Invalid or malformed message array in request body — returns 400 Bad Request
- Model temporarily unavailable or overloaded — returns 503 Service Unavailable
- Request exceeds model's context window — returns 400 with token limit error
- Malformed JSON body — returns 400 parsing error

## How this service works

Create a chat completion using Liquid LFM 2.5 1.2B Thinking model.

## Output

A chat completion response object containing the assistant's generated text and reasoning output from the Liquid LFM 2.5 1.2B Thinking model, structured in standard OpenAI-compatible chat completion format.

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/x402-slinkylayer-ai-8a3805f9/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from x402.slinkylayer.ai](https://www.zero.xyz/host/x402.slinkylayer.ai/llms.txt)