# Orbonomy LLM Analyze

> Orbonomy LLM Analyze is a paid API for AI agents from www.orbonomy.xyz, paid per call via x402, $0.1/call, status unknown (last checked 2026-09-14).

Sends a text prompt to an LLM analysis endpoint and returns a structured response with a success indicator

## Facts

- Endpoint: POST https://www.orbonomy.xyz/api/llm/analyze
- Price: $0.1/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-14
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/orbonomy-llm-analyze-bc44c8e3
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_wH6Q_DIpqrykr_q6m0kZ4

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-analyze-bc44c8e3 -d '<json body>'
```

Example prompt: Analyze this customer feedback using Orbonomy's LLM endpoint and tell me what it means: 'The onboarding flow was confusing but the product itself exceeded expectations.'

## When to prefer this

Choose this endpoint when you need a lightweight, pay-per-call LLM analysis without a subscription, especially in automated pipelines using the x402 micropayment protocol and only have a text prompt as input.

## Known failure modes

- Missing required 'prompt' field returns a validation error
- Payment failure via x402 protocol if wallet is not funded with USDC
- Overly long prompts may exceed token limits and return an error
- Network timeout if the upstream LLM provider is slow or unavailable
- Invalid JSON body returns a 400-level error

## 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 boolean 'success' field indicating whether the LLM analysis completed successfully, along with any analysis content derived from the submitted prompt.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "required": [
  "prompt"
 ],
 "properties": {
  "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-analyze-bc44c8e3/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from www.orbonomy.xyz](https://www.zero.xyz/host/www.orbonomy.xyz/llms.txt)