# KiteEndpoints.ai Face Analyzer

> KiteEndpoints.ai Face Analyzer is a paid API for AI agents from kite-hub-v3.vercel.app, paid per call via x402, $0.15/call, status unknown (last checked 2026-09-14).

Analyzes a face in an image and returns facial attributes, emotions, or demographic estimates

## Facts

- Endpoint: POST https://kite-hub-v3.vercel.app/api/face-analyzer
- Price: $0.15/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-14
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/kiteendpoints-ai-face-analyzer-0b075c15
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_LyMUo6db2W9oAKNlCQmeq

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 kiteendpoints-ai-face-analyzer-0b075c15 -d '<json body>'
```

Example prompt: Can you analyze the face in this photo and tell me the person's approximate age, detected emotion, and gender?

## When to prefer this

Use this endpoint when you need quick, pay-per-request facial attribute analysis without a long-term subscription commitment. It is well-suited for low-volume or sporadic use cases where paying $0.15 USDC per call via Base chain is acceptable. Prefer this over dedicated facial recognition SaaS platforms if you are already integrated into the KiteEndpoints hub.

## Known failure modes

- No face detected in the provided image — returns error or empty result
- Invalid or inaccessible image URL — returns 400 or parsing error
- Image quality too low for face detection
- Payment failure or insufficient USDC balance — returns 402
- Rate limiting or server overload — returns 429 or 503

## How this service works

400+ paid API endpoints. Social media, AI, crypto, finance, weather, ecommerce, tools. Pay per request with USDC on Base chain.

## Output

Returns a result object containing facial analysis data such as estimated age, detected emotion, gender classification, and potentially facial landmarks or confidence scores.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "result": {
   "type": "object",
   "description": "API response data"
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "type": "object",
 "example": {
  "result": {
   "data": "example response"
  }
 },
 "properties": {
  "result": {
   "type": "object",
   "description": "API response data"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/kiteendpoints-ai-face-analyzer-0b075c15/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from kite-hub-v3.vercel.app](https://www.zero.xyz/host/kite-hub-v3.vercel.app/llms.txt)