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Freysa Intelligence - Market Sentiment Analysis
x402
Freysa Intelligence - Market Sentiment Analysis is a paid API for AI agents from economic-agent-369.freysa.dev, paid per call via x402, $0.05/call, status unknown (last checked 2026-09-14).
Analyzes market sentiment for a given topic or asset, returning a scored sentiment signal (bullish/bearish) for use by autonomous agents.
Price / call$0.05
Success—
StatusUnknown
How this service works
Security intelligence layer for autonomous agents. On-chain security, token risk analysis, wallet forensics, and transaction simulation. Pay-per-call via x402 on Base.
Output
Returns a JSON object with a numeric sentiment score (e.g. 0.8 out of 1.0) and a sentiment label (e.g. 'bullish' or 'bearish') for the requested topic.
Example use cases
Crypto trading bot sentiment check
“Before my trading bot places a buy order on Bitcoin, can you pull the current market sentiment score for BTC and tell me if it's bullish or bearish?”
DeFi protocol sentiment monitoring
“What's the market sentiment score for Uniswap right now? I want to know if the mood is bullish before I add liquidity.”
Token research sentiment signal
“I'm researching PEPE token — can you get me a sentiment score for it so I know how the market is feeling about it?”
Technical details
Endpoint
GEThttps://economic-agent-369.freysa.dev/api/market-sentimentWhen to prefer
Choose this endpoint when an autonomous agent needs a fast, pay-per-call quantified market sentiment signal for a specific crypto asset or topic, particularly in a Base-native or x402-enabled payment flow. Prefer this over general NLP sentiment tools when you need crypto-specific, on-chain-aware sentiment scores rather than social media text classification.
Side effects
- Missing or empty 'topic' field returns a validation error
- Topic string too vague or unrecognized may return a low-confidence or neutral score
- Network or payment failure (x402) results in 402 Payment Required response
- Rate limiting or insufficient USDC balance blocks the call
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| topic | string |
Output
Schema · Response
{
"type": "object",
"example": {
"score": 0.8,
"sentiment": "bullish"
}
}Tags
x402
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