# WhatChuNeed Token Analyzer

> WhatChuNeed Token Analyzer is a paid API for AI agents from whatchuneed.vercel.app, paid per call via x402, $0.2/call, status unknown (last checked 2026-09-15).

Analyzes a cryptocurrency token and returns metrics, sentiment, risk score, and investment recommendation

## Facts

- Endpoint: POST https://whatchuneed.vercel.app/api/token/analyze
- Price: $0.2/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/whatchuneed-token-analyzer-5b6dc1b9
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_q7h35NVNPQgc3DxXdYVNr

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 whatchuneed-token-analyzer-5b6dc1b9 -d '<json body>'
```

Example prompt: Can you analyze the token Ethereum for me — give me its current sentiment, risk score, and whether you'd recommend buying it?

## When to prefer this

Use this endpoint when you need a quick, all-in-one crypto token analysis including sentiment, risk scoring, and a recommendation in a single call. Prefer this over building your own analysis pipeline when you want a pay-per-call model with no subscription and need results fast.

## Known failure modes

- Unrecognized or misspelled coin identifier returns an error or empty metrics
- Very new or illiquid tokens may have insufficient data for accurate analysis
- Network or payment processing failure returns a 402 or 5xx error
- Risk score and recommendation may be stale if underlying data source is not real-time

## How this service works

320+ pay-per-call API endpoints across accommodation, LLM, code execution, crypto, medical, finance, and more. One API, one payment. Powered by x402 protocol.

## Output

Returns a structured object containing token metrics (object with various market data points), a natural language analysis string, a sentiment label (e.g. bullish/bearish/neutral), a numeric risk score, and a plain-language investment recommendation.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "required": [
  "coin"
 ],
 "properties": {
  "coin": {
   "type": "string"
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "metrics": {
   "type": "object"
  },
  "analysis": {
   "type": "string"
  },
  "sentiment": {
   "type": "string"
  },
  "risk_score": {
   "type": "number"
  },
  "recommendation": {
   "type": "string"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/whatchuneed-token-analyzer-5b6dc1b9/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from whatchuneed.vercel.app](https://www.zero.xyz/host/whatchuneed.vercel.app/llms.txt)