# vaaya.ai OpenRouter Multi-LLM Chat

> vaaya.ai OpenRouter Multi-LLM Chat is a paid API for AI agents from vaaya.ai, paid per call via x402, $1/call, status unknown (last checked 2026-09-14).

Routes chat completion requests to any of 100+ LLMs via OpenRouter with keyless pay-per-call pricing

## Facts

- Endpoint: POST https://vaaya.ai/api/run/openrouter/chat
- Price: $1/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-14
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/vaaya-ai-openrouter-multi-llm-chat-420bcd6b
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_-_ThWavuBmhEwbgTNJRM2

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 vaaya-ai-openrouter-multi-llm-chat-420bcd6b -d '<json body>'
```

Example prompt: Ask openai/gpt-4o via OpenRouter: given the messages [{"role":"user","content":"Summarize the key themes of the French Revolution in three bullet points."}], return the model's response — use keyless pay-per-call so I don't need to manage an API key.

## When to prefer this

Choose this endpoint when you need to call any of 100+ LLMs without managing individual provider API keys, want pay-per-call pricing in USDC, or need to dynamically switch between models (e.g. GPT-4o, Claude, Llama, Mistral) from a single unified interface. Ideal for agents that need model flexibility without credential management overhead.

## Known failure modes

- Invalid or unsupported model ID returns an error indicating the model was not found
- Empty or malformed messages array causes a validation error
- Insufficient USDC balance results in payment failure before the request is forwarded
- Model provider downtime or rate limiting may cause timeouts or upstream errors
- Exceeding the model's context window returns a context length exceeded error

## How this service works

OpenRouter — one endpoint for 100+ LLMs, keyless pay-per-call (price varies by model + tokens). Params: `model` (vendor/model id like openai/gpt-4o), `messages`.

## Output

Returns a chat completion response from the chosen LLM, including the assistant's generated message content, model metadata, token usage counts, and finish reason — formatted as a standard OpenAI-compatible chat completion object.

## Request schema (JSON Schema)

```json
{
 "$schema": "https://json-schema.org/draft/2020-12/schema",
 "type": "object",
 "properties": {
  "input": {
   "type": "object",
   "properties": {
    "type": {
     "type": "string",
     "const": "http"
    },
    "method": {
     "type": "string",
     "enum": [
      "POST"
     ]
    },
    "bodyType": {
     "type": "string",
     "enum": [
      "json",
      "form-data",
      "text"
     ]
    },
    "body": {
     "type": "object",
     "properties": {
      "model": {
       "type": "string",
       "minLength": 1
      },
      "messages": {
       "type": "array",
       "items": {
        "type": "object",
        "properties": {},
        "additionalProperties": true
       },
       "minItems": 1
      }
     },
     "required": [
      "model",
      "messages"
     ],
     "additionalProperties": true,
     "$schema": "http://json-schema.org/draft-07/schema#"
    },
    "pathParams": {
     "type": "object"
    }
   },
   "required": [
    "type",
    "method",
    "bodyType",
    "body"
   ],
   "additionalProperties": false
  },
  "output": {
   "type": "object",
   "properties": {
    "type": {
     "type": "string"
    },
    "example": {
     "type": "object"
    }
   },
   "required": [
    "type"
   ]
  }
 },
 "required": [
  "input"
 ]
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/vaaya-ai-openrouter-multi-llm-chat-420bcd6b/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from vaaya.ai](https://www.zero.xyz/host/vaaya.ai/llms.txt)