# momoAI Summarize

> momoAI Summarize is a paid API for AI agents from momoai-cyan.vercel.app, paid per call via x402, $0.05/call, status unknown (last checked 2026-09-15).

Condenses a block of text into a concise summary with key points, powered by LLM, billed per call in USDC on Base.

## Facts

- Endpoint: POST https://momoai-cyan.vercel.app/api/summarize
- Price: $0.05/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/momoai-summarize-0855d824
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_B4jA0CsB7MHDJacRD7Ufj

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-0855d824 -d '<json body>'
```

Example prompt: Can you summarize the following article in under 150 words and give me the key bullet points? [paste article text here]

## When to prefer this

Use this endpoint when you need a pay-per-use, no-subscription LLM summarization call billed in USDC on Base via x402 — ideal for agents that want micropayment-native access to summarization without managing API keys or monthly plans.

## Known failure modes

- Missing required `text` field returns a validation error
- Payment failure (insufficient USDC balance) returns HTTP 402
- Text too long for model context window may return a truncation or overload error
- Invalid `format` value may be ignored or cause a bad request
- Network timeout on Vercel cold start for large inputs

## 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 (condensed version of the input text), an array of `key_points`, the LLM `model` used, token `usage` stats, and the output `format`. Wrapped in a `data` envelope with a `success` boolean.

## 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-0855d824/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)