# momoAI Batch LLM API

> momoAI Batch LLM API is a paid API for AI agents from momoai-cyan.vercel.app, paid per call via x402, $0.1/call, status unknown (last checked 2026-09-15).

Processes multiple LLM tasks in a single batch call (chat, reasoning, code review, translation, summarization, data extraction), paid per-call with USDC on Base.

## Facts

- Endpoint: POST https://momoai-cyan.vercel.app/api/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/momoai-batch-llm-api-f76524b5
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_UzLMom_tGoLSARc83wE5V

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 momoai-batch-llm-api-f76524b5 -d '<json body>'
```

Example prompt: Use momoAI's batch endpoint to process these 3 tasks concurrently with the default model: summarize this article, translate this paragraph to French, and review this Python function for bugs.

## When to prefer this

Choose this endpoint when you need to process multiple LLM tasks in a single API call and want to pay per-use with USDC on Base via x402. Ideal for agents orchestrating parallel AI workflows without managing a subscription or API key contract — especially when combining diverse tasks (translation, summarization, code review) in one round trip.

## Known failure modes

- Payment not received or insufficient USDC — 402 Payment Required
- items array is empty or malformed — 400 Bad Request
- unsupported model name specified — 400 or 422 error
- rate limit or quota exceeded — 429 Too Many Requests
- concurrent execution timeout for large batches — 500 or timeout error

## How this service works

Pay-per-use LLM API. Chat, reasoning, code review, translation, summarization, data extraction, and more. Pay with USDC on Base.

## Output

Returns a success flag, an array of results (each with an id, text output, and token usage), total token usage across all items, and a count of items processed.

## Request schema (JSON Schema)

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

## Response schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "data": {
   "type": "object",
   "properties": {
    "results": {
     "type": "array",
     "items": {
      "type": "object",
      "properties": {
       "id": {
        "type": "string"
       },
       "usage": {
        "type": "object"
       },
       "output": {
        "type": "string"
       }
      }
     }
    },
    "total_usage": {
     "type": "object"
    },
    "items_processed": {
     "type": "integer"
    }
   }
  },
  "meta": {
   "type": "object"
  },
  "success": {
   "type": "boolean"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/momoai-batch-llm-api-f76524b5/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from momoai-cyan.vercel.app](https://www.zero.xyz/host/momoai-cyan.vercel.app/llms.txt)