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Carbon & Cashmere Sentiment Analyze API
x402
Carbon & Cashmere Sentiment Analyze API is a paid API for AI agents from api.carbon-cashmere.de, paid per call via x402, $0.01/call, status down (last checked 2026-09-14).
Analyzes the sentiment impact of a news headline or event on specific cryptocurrencies, returning magnitude, impact level, sentiment direction, and sentiment score.
Price / call$0.01
Success—
StatusDown
How this service works
Professional crypto market intelligence. Real-time prices, signals, and market scoring.
Output
Returns a JSON object with: magnitude (0-1 float indicating strength of impact), impact_level (HIGH/MEDIUM/LOW), sentiment_used (positive/negative/neutral string), and sentiment_score (numeric sentiment value). Together these characterize how strongly and in which direction the given news headline is expected to affect the specified cryptocurrencies.
Example use cases
Example prompt
“What's the market impact of this headline for Bitcoin and Ethereum — 'SEC approves first Bitcoin ETF for US markets' — is it high impact and positive, and what's the magnitude? Use the Carbon & Cashmere sentiment analyzer with categories 'etf' and 'regulation'.”
Technical details
Endpoint
POSThttps://api.carbon-cashmere.de/v1/sentiment-analyzeWhen to prefer
Use this endpoint when you need to quantify the directional sentiment impact of a specific news headline or event on one or more named cryptocurrencies — especially when you need a structured impact_level and magnitude score rather than raw text sentiment. Prefer this over generic NLP sentiment APIs when the domain is crypto markets and you need trading-signal-grade output including impact classification.
Side effects
- Missing or empty 'coins' array returns validation error
- Empty or null 'title' field returns 400 bad request
- Invalid category strings may return unrecognized category error
- Payment not included or insufficient USDC results in 402 payment required
- Unsupported coin ticker may return unknown asset error
- Network timeout if upstream ML model is slow
Output
Schema · Response
{
"type": "json",
"example": {
"input": {
"coins": [
"BTC"
],
"title": "Bitcoin ETF approval expected next week",
"categories": [
"etf",
"regulation"
]
},
"result": {
"magnitude": 0.95,
"impact_level": "HIGH",
"sentiment_used": "positive",
"sentiment_score": 1
}
}
}Tags
x402
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