# momoAI Summarize

> momoAI Summarize is a paid API for AI agents from aimomo.vercel.app, paid per call via x402, $0.05/call, status unknown (last checked 2026-09-14).

Summarizes input text into a concise summary with key points, with configurable format and target word count, billed per-call in USDC.

## Facts

- Endpoint: POST https://aimomo.vercel.app/api/summarize
- Price: $0.05/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-14
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/momoai-summarize-a62046ff
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_CGLPhOHAYgZM5MsROMoC2

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-summarize-a62046ff -d '<json body>'
```

Example prompt: Summarize this article for me in about 150 words as a bullet-point list: [paste of long article text here].

## When to prefer this

Use this endpoint when you need a dedicated, pay-per-call summarization service without managing an LLM API key, especially in crypto-native workflows that already use USDC on Base for microtransactions. Prefer this over generic LLM chat endpoints when you specifically need structured summarization output (summary + key_points) and optional word-count control.

## Known failure modes

- Missing required `text` field returns a 400 validation error
- Payment failure (insufficient USDC balance) returns a 402 Payment Required
- Text too long for model context window may return a 413 or truncation error
- Invalid `format` value may be ignored or return a 400 error
- Service downtime on Vercel returns a 503

## 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 JSON object with a `summary` string containing the condensed text, a `key_points` array of extracted highlights, the `model` name used, token `usage` stats, and the output `format`. The `success` boolean indicates whether the call succeeded.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "required": [
  "text"
 ],
 "properties": {
  "text": {
   "type": "string",
   "description": "Text to summarize"
  },
  "format": {
   "type": "string"
  },
  "max_length": {
   "type": "integer",
   "description": "Target word count"
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "data": {
   "type": "object",
   "properties": {
    "model": {
     "type": "string"
    },
    "usage": {
     "type": "object"
    },
    "format": {
     "type": "string"
    },
    "summary": {
     "type": "string"
    },
    "key_points": {
     "type": "array",
     "items": {
      "type": "string"
     }
    }
   }
  },
  "meta": {
   "type": "object"
  },
  "success": {
   "type": "boolean"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/momoai-summarize-a62046ff/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)