# Orbonomy LLM Batch Inference

> Orbonomy LLM Batch Inference is a paid API for AI agents from main.orbonomy.xyz, paid per call via x402, $0.1/call, status unknown (last checked 2026-09-15).

Runs a batch of LLM inference requests against multiple items using a shared system prompt via the Orbonomy unified API platform

## Facts

- Endpoint: POST https://main.orbonomy.xyz/api/llm/batch
- Price: $0.1/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/orbonomy-llm-batch-inference-e71759e2
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_za1A0FB6aZCp9DLZ6etug

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 orbonomy-llm-batch-inference-e71759e2 -d '<json body>'
```

Example prompt: Run all 12 of these product descriptions through an LLM using the system prompt 'You are a helpful product copywriter. Rewrite each description to be more compelling and concise.' and return the results for each one.

## When to prefer this

Use this endpoint when you need to apply a single LLM system prompt to multiple input items in one API call rather than making individual requests per item, and when you are already using the Orbonomy platform or want pay-per-call pricing via x402 protocol without a subscription commitment.

## Known failure modes

- Missing required 'items' array returns validation error
- Missing required 'system_prompt' returns validation error
- Empty items array may return success with no results
- LLM inference failure on one or more items may cause partial or full failure
- Payment failure via x402 protocol blocks the request
- Rate limiting or quota exceeded returns error response
- Malformed item structure may cause processing errors

## How this service works

50+ pay-per-call API endpoints across accommodation, AI, content, fact-checking, and data services. Powered by x402 protocol.

## Output

Returns a JSON object with a 'success' boolean and presumably the batch inference results for each input item processed against the shared system prompt

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "required": [
  "items",
  "system_prompt"
 ],
 "properties": {
  "items": {
   "type": "array"
  },
  "system_prompt": {
   "type": "string"
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "success": {
   "type": "boolean"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/orbonomy-llm-batch-inference-e71759e2/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from main.orbonomy.xyz](https://www.zero.xyz/host/main.orbonomy.xyz/llms.txt)