# X402-NVIDIA GLiNER PII Extraction

> X402-NVIDIA GLiNER PII Extraction is a paid API for AI agents from x402-nvidia.vercel.app, paid per call via x402, $0.088894/call, status unknown (last checked 2026-09-14).

Extracts and identifies personally identifiable information (PII) from text using NVIDIA's GLiNER model, paid via x402 micropayments.

## Facts

- Endpoint: POST https://x402-nvidia.vercel.app/api/gliner-pii
- Price: $0.088894/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-14
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/x402-nvidia-gliner-pii-extraction-efbcf86f
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_CMVqAFQeRO7rNqB43WZM7

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 x402-nvidia-gliner-pii-extraction-efbcf86f -d '<json body>'
```

Example prompt: Scan this text for any personally identifiable information and tell me what PII entities are found: 'John Smith called us from 555-123-4567 and his SSN is 123-45-6789, living at 42 Oak Street, Boston.'

## When to prefer this

Use this endpoint when you need to detect and extract PII from text using NVIDIA's specialized GLiNER model with pay-per-call micropayment pricing via x402 — ideal for compliance workflows, data anonymization pipelines, or ad-hoc PII scanning without a subscription.

## Known failure modes

- Empty or malformed input text returns no entities or an error
- Model may miss ambiguous or obfuscated PII
- Payment failure via x402 returns 402 status before processing
- Rate limiting may occur under high load
- Very long texts may be truncated or rejected

## How this service works

Access 48+ NVIDIA NIM AI models via x402 micropayments. Chat completions, vision, safety, translation, and more.

## Output

Returns a structured response with detected PII entities, their labels (e.g. NAME, PHONE, SSN, ADDRESS, EMAIL), span positions in the text, and confidence scores for each detected entity.

## Response schema (JSON Schema)

```json
{
 "type": "object",
 "example": {
  "choices": [
   {
    "message": {
     "role": "assistant",
     "content": "Hello!"
    }
   }
  ]
 },
 "properties": {
  "choices": {
   "type": "array",
   "description": "Model responses"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/x402-nvidia-gliner-pii-extraction-efbcf86f/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from x402-nvidia.vercel.app](https://www.zero.xyz/host/x402-nvidia.vercel.app/llms.txt)
