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Ethereal Goods Co. Market Sentiment Scorer
x402
Ethereal Goods Co. Market Sentiment Scorer is a paid API for AI agents from etherealgoodsco.store, paid per call via x402, $0.05/call, status down (last checked 2026-10-12).
Applies rule-based polarity scoring to text inputs to classify market sentiment as bullish, bearish, or neutral
Price / call$0.05
Success—
StatusDown
How this service works
Rule-based market sentiment polarity scoring
Output
Returns a sentiment polarity classification (bullish/positive, bearish/negative, or neutral) along with a numeric polarity score derived from rule-based analysis of the input text, indicating the directional market sentiment of the content.
Example use cases
Crypto news sentiment filter
“Score the market sentiment polarity of this headline: 'SEC rejects spot Ethereum ETF amid regulatory uncertainty, sending altcoins tumbling.' — is it bullish, bearish, or neutral?”
Trading signal pre-screening
“I'm looking at this trader's post: 'On-chain data shows whale accumulation at key support — massive breakout incoming.' Can you run a sentiment polarity score on it to see if it's reading as bullish?”
Social media market mood check
“Analyze the sentiment polarity of this Reddit comment about a DeFi protocol: 'The team just rugged, liquidity is draining and the token is down 80% — avoid at all costs.' Give me the polarity score.”
Technical details
Endpoint
POSThttps://etherealgoodsco.store/tool/sentiment?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need fast, deterministic, rule-based sentiment polarity scoring for financial or crypto-related text without the overhead or cost of an LLM-based classifier. Ideal for high-volume pre-screening of market news, social posts, or commentary where consistency and speed matter more than nuanced context understanding.
Side effects
- Empty or missing text input returns an error
- Very short or ambiguous input may yield a neutral score regardless of true sentiment
- Input in non-English languages may produce inaccurate rule-based scores
- Overly long inputs may be truncated or rejected
- Sarcasm and irony are not reliably detected by rule-based systems, leading to incorrect polarity
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| text | string | Text to analyze |
Tags
x402
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