# DataVault Extract — AI-Powered Text Entity Extraction

> DataVault Extract — AI-Powered Text Entity Extraction is a paid API for AI agents from zetavault.vercel.app, paid per call via x402, $0.03/call, status unknown (last checked 2026-09-15).

Extracts structured entities and data points from unstructured text using AI-powered NLP processing

## Facts

- Endpoint: POST https://zetavault.vercel.app/api/extract
- Price: $0.03/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/datavault-extract-ai-powered-text-entity-extraction-831668ac
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_FxcqBO_-BDL2o9_uTnHaL

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 datavault-extract-ai-powered-text-entity-extraction-831668ac -d '<json body>'
```

Example prompt: Extract all the people names, organizations, and dates from this text: 'On March 5th, Elon Musk and Tim Cook met at Apple's headquarters in Cupertino to discuss a new partnership agreement.'

## When to prefer this

Choose this endpoint when you need to extract structured entities or data points from raw, unstructured text and want a pay-per-call model without subscription overhead. Particularly useful for one-off or low-volume extraction tasks where spinning up a dedicated NLP pipeline isn't justified.

## Known failure modes

- Missing required 'text' field returns validation error
- Empty string input may return empty data object with success:true
- Unsupported or malformed entity types in the array may be silently ignored
- Very long text inputs may hit payload size limits
- Network or server errors on the Vercel deployment may return 5xx responses

## How this service works

54 endpoints spanning local tools, live data feeds, and AI-powered text processing. Pay-per-call with USDC on Base.

## Output

Returns a JSON object with a 'data' field containing the extracted entities as structured key-value pairs, and a 'success' boolean indicating whether extraction completed successfully. The shape of 'data' reflects the entity types requested.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "required": [
  "text"
 ],
 "properties": {
  "text": {
   "type": "string"
  },
  "entities": {
   "type": "array"
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "data": {
   "type": "object"
  },
  "success": {
   "type": "boolean"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/datavault-extract-ai-powered-text-entity-extraction-831668ac/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from zetavault.vercel.app](https://www.zero.xyz/host/zetavault.vercel.app/llms.txt)