# Orbonomy LLM Batch Processing

> Orbonomy LLM Batch Processing is a paid API for AI agents from backup-v2api.orbonomy.xyz, paid per call via x402, $0.1/call, status unknown (last checked 2026-09-15).

Runs a batch of items through a language model using a shared system prompt, returning structured results for each item

## Facts

- Endpoint: POST https://backup-v2api.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-processing-bac4d744
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_tPVjwknLgUblA6PTkxHOS

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-processing-bac4d744 -d '<json body>'
```

Example prompt: Use Orbonomy's batch LLM endpoint to classify each of these 5 customer reviews as positive, negative, or neutral — use the system prompt: 'You are a sentiment classifier. Reply with one word: positive, negative, or neutral.' and send all 5 reviews as the items array.

## When to prefer this

Choose this endpoint when you need to apply the same LLM instruction to multiple items in a single API call, avoiding the overhead of multiple individual requests. Ideal for bulk classification, extraction, summarization, or transformation tasks where a consistent system prompt should govern all outputs. Best suited for workflows where cost efficiency and batching are priorities over real-time single-item processing.

## Known failure modes

- Empty items array returns error or empty results
- Missing system_prompt field causes a 400 validation error
- Oversized batch may hit payload or token limits
- Payment failure via x402 protocol returns 402 Payment Required
- LLM inference timeout for very large batches
- Invalid item types in the array 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

A JSON object with a 'success' boolean field and, on success, processed results for each item in the batch as transformed/generated by the LLM according to the 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-processing-bac4d744/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from backup-v2api.orbonomy.xyz](https://www.zero.xyz/host/backup-v2api.orbonomy.xyz/llms.txt)