# whatchuneed LLM Text Analyzer

> whatchuneed LLM Text Analyzer is a paid API for AI agents from whatchuneed.vercel.app, paid per call via x402, $0.1/call, status unknown (last checked 2026-09-15).

Analyzes free-form text to extract topics, named entities, sentiment, and a descriptive analysis summary.

## Facts

- Endpoint: POST https://whatchuneed.vercel.app/api/llm/analyze
- 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/whatchuneed-llm-text-analyzer-79c2fed3
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_4YmWa6U7e7yaQOo9SGODJ

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-llm-text-analyzer-79c2fed3 -d '<json body>'
```

Example prompt: Analyze this customer review and tell me the main topics, named entities, and overall sentiment: 'Apple's new MacBook Pro is blazing fast but the price hike is hard to justify for casual users.'

## When to prefer this

Choose this endpoint when you need a combined multi-faceted text analysis (topics + entities + sentiment + summary) in a single pay-per-call request, especially if you are already using the whatchuneed x402 ecosystem and want unified billing across multiple API types. It is well-suited for agents that process free-form text inputs and need structured NLP output without setting up a dedicated NLP service.

## Known failure modes

- Missing required 'text' field returns a validation error
- Very long text inputs may be truncated or cause timeout
- Ambiguous or extremely short text may yield low-confidence or empty topics/entities
- Invalid 'aspects' array values may be ignored or cause unexpected output
- Payment failure via x402 results in 402 response before analysis is performed

## 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 JSON object containing an array of topic strings, a free-text analysis summary, an array of entity objects (with entity names and types), and a sentiment string (e.g. positive, negative, neutral).

## Request schema (JSON Schema)

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

## Response schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "topics": {
   "type": "array",
   "items": {
    "type": "string"
   }
  },
  "analysis": {
   "type": "string"
  },
  "entities": {
   "type": "array",
   "items": {
    "type": "object"
   }
  },
  "sentiment": {
   "type": "string"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/whatchuneed-llm-text-analyzer-79c2fed3/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)