# AlphaLens Stock Screener

> AlphaLens Stock Screener is a paid API for AI agents from alphacook.vercel.app, paid per call via x402, $0.1/call, status unknown (last checked 2026-09-15).

Screens a list of stock symbols using AI-powered analysis, returning technical indicators, sentiment scores, and portfolio risk metrics

## Facts

- Endpoint: POST https://alphacook.vercel.app/api/screen
- Price: $0.1/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/alphalens-stock-screener-16f63000
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_bUfNu1ygS5GMW0d65gnJI

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 alphalens-stock-screener-16f63000 -d '<json body>'
```

Example prompt: Screen these stocks for me — AAPL, TSLA, NVDA, and MSFT — and give me the AI sentiment scores, technical indicators, and any risk signals you find.

## When to prefer this

Use this endpoint when you need to simultaneously evaluate multiple stock tickers with AI-powered analysis combining technical indicators and sentiment scoring, rather than looking up a single stock or fetching raw price data. Ideal for watchlist screening or pre-trade analysis workflows.

## Known failure modes

- Missing required 'symbols' array returns validation error
- Empty symbols array may return empty data or error
- Invalid ticker symbols may return null data for those entries
- Payment failure via x402 prevents request from completing
- Rate limiting or server errors from vercel deployment may cause 5xx responses

## How this service works

AI-powered stock analysis, technical indicators, sentiment scoring, and portfolio risk. 11 endpoints. Pay per request via x402 on Base chain.

## Output

A JSON object with a success flag and a data object containing screening results for each submitted symbol, including AI-derived sentiment scores, technical indicators, and portfolio risk metrics.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "required": [
  "symbols"
 ],
 "properties": {
  "symbols": {
   "type": "array",
   "description": "symbols"
  }
 }
}
```

## Response schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/alphalens-stock-screener-16f63000/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from alphacook.vercel.app](https://www.zero.xyz/host/alphacook.vercel.app/llms.txt)