# momoAI Batch LLM API

> momoAI Batch LLM API is a paid API for AI agents from aimomo.vercel.app, paid per call via x402, $0.1/call, status unknown (last checked 2026-09-14).

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

## Facts

- Endpoint: POST https://aimomo.vercel.app/api/batch
- 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/momoai-batch-llm-api-03420869
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_1y4U2TNrh_d6H2Jm1GlXM

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-03420869 -d '<json body>'
```

Example prompt: I have a list of 5 customer support tickets — can you use momoAI's batch endpoint to summarize each one and extract the main complaint, running them all concurrently with the default model?

## When to prefer this

Choose this endpoint when you need to process multiple LLM tasks in a single API call without managing parallel requests yourself, especially when you want pay-per-use crypto billing (USDC on Base) rather than a subscription, and when tasks include diverse operations like summarization, translation, code review, or data extraction across a batch of inputs.

## Known failure modes

- Payment not received or insufficient USDC — 402 Payment Required
- Items array is empty or malformed — 400 Bad Request
- Specified model name is invalid or unsupported — 400 or 422 error
- Concurrent execution failure on one or more items — partial results or error per item
- Rate limit or quota exceeded — 429 Too Many Requests
- Service unavailable or cold start on Vercel — 503 or timeout

## 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

An array of per-item results each containing an ID, output text, and token usage stats; plus aggregate total usage and total items processed, wrapped in a success envelope.

## 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-03420869/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from aimomo.vercel.app](https://www.zero.xyz/host/aimomo.vercel.app/llms.txt)