# DataVault Sentiment Analysis

> DataVault Sentiment Analysis is a paid API for AI agents from zetavault.vercel.app, paid per call via x402, $0.03/call, status unknown (last checked 2026-09-14).

Analyzes the sentiment of a given text string, returning a structured sentiment result via AI-powered text processing.

## Facts

- Endpoint: POST https://zetavault.vercel.app/api/sentiment
- Price: $0.03/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-14
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/datavault-sentiment-analysis-5a6d31d0
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_rLnzkG1SGQcaojoqn5R2h

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 datavault-sentiment-analysis-5a6d31d0 -d '<json body>'
```

Example prompt: Can you analyze the sentiment of this customer review and tell me if it's positive, negative, or neutral: 'The delivery was super fast but the product quality was really disappointing'?

## When to prefer this

Choose this endpoint when you need a quick, pay-per-call sentiment classification of arbitrary text without managing your own NLP infrastructure. Best for low-to-medium volume use cases where simplicity and per-call pricing are preferred over a subscription NLP API.

## Known failure modes

- Missing 'text' field in request body returns validation error
- Empty string input may return error or ambiguous result
- Very long text inputs may be truncated or rejected
- Payment failure (insufficient USDC) returns 402 Payment Required
- Service unavailability returns 5xx error

## How this service works

54 endpoints spanning local tools, live data feeds, and AI-powered text processing. Pay-per-call with USDC on Base.

## Output

Returns a JSON object with a 'success' boolean and a 'data' object containing the sentiment classification and likely a score or confidence level for the analyzed text.

## Request schema (JSON Schema)

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

## Response schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/datavault-sentiment-analysis-5a6d31d0/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from zetavault.vercel.app](https://www.zero.xyz/host/zetavault.vercel.app/llms.txt)