# Vidar Agent – Sentiment Analysis

> Vidar Agent – Sentiment Analysis is a paid API for AI agents from lavish-vision-production-bf85.up.railway.app, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-12).

Analyzes sentiment of text, tweets, or market narratives to determine bullish/bearish/neutral tone and emotional signals

## Facts

- Endpoint: POST https://lavish-vision-production-bf85.up.railway.app/entrypoints/analyze/invoke?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-12
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/vidar-agent-sentiment-analysis-8430b379
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap__fesIYQe0Ee81au-ALZvN

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 vidar-agent-sentiment-analysis-8430b379 -d '<json body>'
```

Example prompt: Analyze the sentiment of this tweet: 'Ethereum just broke $4k resistance with massive volume — whales are accumulating hard and retail is about to FOMO in.' Is it bullish, bearish, or neutral?

## When to prefer this

Choose this endpoint when you need crypto- and finance-aware sentiment analysis on tweets, market narratives, or social media text — especially when standard NLP tools lack domain context around token slang, whale behavior, or DeFi terminology. Ideal for pipelines that feed sentiment into trading signals or market monitoring dashboards.

## Known failure modes

- Empty or missing input text returns a validation error
- Extremely long inputs may be truncated or rejected
- Non-English or highly encoded text may yield low-confidence results
- Payment not included or incorrect amount returns HTTP 402
- Ambiguous or context-free text may produce neutral classification with low confidence

## How this service works

Sentiment analysis on text, tweets, or market narratives

## Output

Returns a sentiment classification (e.g. bullish/bearish/neutral or positive/negative/neutral) along with a confidence score or intensity measure, and potentially key phrases or reasoning driving the sentiment verdict for the input text or narrative.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "input": {
   "type": "object"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/vidar-agent-sentiment-analysis-8430b379/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from lavish-vision-production-bf85.up.railway.app](https://www.zero.xyz/host/lavish-vision-production-bf85.up.railway.app/llms.txt)