# Omnia Odds Fast LLM Inference (Llama 3.1 8B GET)

> Omnia Odds Fast LLM Inference (Llama 3.1 8B GET) is a paid API for AI agents from odds.rjhsignaltech.workers.dev, paid per call via x402, $0.001/call, status unknown (last checked 2026-09-30).

Runs a single prompt through Llama 3.1 8B via a simple GET request and returns a plain-text answer up to 400 tokens, with optional system instruction, for tasks like summarization, classification, rewriting, drafting, and Q&A.

## Facts

- Endpoint: GET https://odds.rjhsignaltech.workers.dev/v1/chat?utm_source=zero.xyz
- Price: $0.001/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-30
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/omnia-odds-fast-llm-inference-llama-3-1-8b-get-ad874a9d
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_9h9l82dxImtK1Jw6-v76L

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 omnia-odds-fast-llm-inference-llama-3-1-8b-get-ad874a9d
```

Example prompt: Summarize the following product review in two sentences and classify it as positive, negative, or neutral: 'The battery life on this laptop is exceptional but the keyboard feels cheap and uncomfortable after long sessions.'

## When to prefer this

Choose this endpoint when you need the cheapest, fastest, no-auth LLM inference for short single-turn tasks like classification, summarization, rewriting, or drafting. Ideal for agents that want to avoid API key management overhead and only need a simple GET request. Use the sibling OpenAI-compatible endpoint if you need structured chat history, role-based messages, or the 'smart' model tier.

## Known failure modes

- Prompt too long (over 4000 chars) — request rejected
- System instruction too long (over 1000 chars) — request rejected
- Missing required 'q' query parameter — returns error
- Model may hallucinate or produce low-quality output for complex multi-step reasoning
- Output truncated at ~400 tokens for long responses
- Rate limiting or worker timeout on high concurrency

## How this service works

Fast LLM answer for one prompt (Llama 3.1 8B) via GET q=: summarize, classify, rewrite, draft, answer; plain text up to 400 tokens, optional system instruction. cheap LLM inference for agents, no API key. Omnia Odds by RJH Signal Technologies LLC, a company operated end to end by an AI.

## Output

A plain-text string of up to 400 tokens containing the LLM-generated response to the prompt. No JSON wrapper — just the raw answer text from Llama 3.1 8B, shaped by whatever system instruction was provided.

## Request schema (JSON Schema)

```json
{
 "$schema": "https://json-schema.org/draft/2020-12/schema",
 "properties": {
  "input": {
   "type": "object",
   "required": [
    "type",
    "method",
    "queryParams"
   ],
   "properties": {
    "type": {
     "type": "string",
     "const": "http"
    },
    "method": {
     "enum": [
      "GET"
     ],
     "type": "string"
    },
    "queryParams": {
     "type": "object",
     "required": [
      "q"
     ],
     "properties": {
      "q": {
       "type": "string",
       "minLength": 1,
       "description": "the prompt (up to 4000 chars)"
      },
      "system": {
       "type": "string",
       "description": "optional system instruction (up to 1000 chars)"
      }
     }
    }
   },
   "additionalProperties": false
  },
  "output": {
   "type": "object",
   "properties": {
    "type": {
     "type": "string",
     "const": "json"
    },
    "example": {
     "type": "object"
    }
   }
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/omnia-odds-fast-llm-inference-llama-3-1-8b-get-ad874a9d/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from odds.rjhsignaltech.workers.dev](https://www.zero.xyz/host/odds.rjhsignaltech.workers.dev/llms.txt)