# momoAI Data Extraction Endpoint

> momoAI Data Extraction Endpoint is a paid API for AI agents from aimomo.vercel.app, paid per call via x402, $0.07/call, status unknown (last checked 2026-09-14).

Extracts structured data from unstructured text using LLM inference, returning typed fields with confidence scores, paid per-call via USDC on Base

## Facts

- Endpoint: POST https://aimomo.vercel.app/api/extract
- Price: $0.07/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-14
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/momoai-data-extraction-endpoint-4a8c61fa
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_7KVzg90c_ZxYItpp3O87L

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-data-extraction-endpoint-4a8c61fa -d '<json body>'
```

Example prompt: Extract the vendor name, invoice date, total amount, and line items from this invoice text into a structured format: 'Invoice #4421 from Acme Supplies dated March 3 2025, total $1,240.00, including 10 widgets at $100 each and 2 gadgets at $120 each.' Return results with a confidence score.

## When to prefer this

Choose this endpoint when you need to extract typed, schema-conformant structured data from free-form text using LLM intelligence. It is ideal when regex or rule-based parsing would be too brittle, when the output schema is known in advance, or when you need a confidence score alongside the extracted data. It is pay-per-call with no subscription required, making it suitable for low-volume or ad-hoc extraction tasks. Prefer alternatives if you need streaming output, very high throughput batch processing, or zero-cost extraction.

## Known failure modes

- Missing required `text` field returns validation error
- Provided schema is malformed or unparseable — extraction may fail or return partial results
- Text too long for model context window — may truncate or error
- Payment failure via x402 (insufficient USDC balance) — 402 response before processing
- Ambiguous or conflicting extraction instructions may reduce confidence score
- LLM model unavailable or timeout — generic 5xx 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 JSON object with an `extracted` field containing the structured data matching the provided schema, a `confidence` number (0-1) indicating extraction reliability, the `model` used, and `usage` stats for token consumption. Also includes a top-level `success` boolean and `meta` metadata.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "required": [
  "text"
 ],
 "properties": {
  "text": {
   "type": "string",
   "description": "Text to extract data from"
  },
  "schema": {
   "type": "object",
   "description": "Expected output schema"
  },
  "instructions": {
   "type": "string",
   "description": "Additional extraction instructions"
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "data": {
   "type": "object",
   "properties": {
    "model": {
     "type": "string"
    },
    "usage": {
     "type": "object"
    },
    "extracted": {
     "type": "object"
    },
    "confidence": {
     "type": "number"
    }
   }
  },
  "meta": {
   "type": "object"
  },
  "success": {
   "type": "boolean"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/momoai-data-extraction-endpoint-4a8c61fa/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)