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Carbon Cashmere Market Anomaly Signals API
x402
Carbon Cashmere Market Anomaly Signals API is a paid API for AI agents from api.carbon-cashmere.de, paid per call via x402, $0.02/call, status unknown (last checked 2026-09-14).
Returns real-time market anomaly metrics across 16 quantitative categories including funding rate extremes, liquidation density, volume irregularities, price spikes, open interest divergence, and correlation breakdowns for crypto assets.
Price / call$0.02
Success—
StatusUnknown
How this service works
Professional crypto market intelligence. Real-time prices, signals, and market scoring.
Output
A list of real-time anomaly signal objects across up to 16 quantitative categories, each with a type label (e.g. funding_rate_extreme, liquidation_density, volume_irregularity, price_spike, open_interest_divergence, correlation_breakdown, confluence), severity rating, symbol, and metric values. Results are filterable by anomaly type, severity, and coin symbol.
Example use cases
Spot funding rate extremes across altcoins
“Which altcoins are showing extreme funding rates right now? I want to see anything with high severity so I can figure out where the market is overly leveraged.”
Detect confluence anomalies before trading
“Before I put on any positions today, scan the market for confluence anomalies — situations where multiple anomaly types are firing at the same time on the same asset. Flag anything with high severity.”
Monitor ETH open interest divergence
“Is ETH showing any open interest divergence signals right now? I want to know if price and open interest are moving in opposite directions and how severe it looks.”
Technical details
Endpoint
GEThttps://api.carbon-cashmere.de/v1/signalsWhen to prefer
Choose this endpoint when you need real-time, multi-category anomaly detection across crypto markets with structured severity and type filtering — especially for quantitative research pipelines, AI agent-based market surveillance, or when you need to identify confluence of multiple anomaly types simultaneously. Prefer over generic OHLCV or indicator endpoints when the specific goal is anomaly/outlier detection rather than trend following.
Side effects
- Invalid or unsupported symbol returns empty results or 404
- Unknown anomaly type filter returns error or empty array
- Severity filter value outside allowed enum returns validation error
- Payment not processed (x402 payment required) returns 402 status
- Rate limit exceeded returns 429 status
- No anomalies currently detected returns empty array with 200 status
Output
Schema · Response
{
"type": "json",
"example": {
"count": 12,
"signals": [
{
"symbol": "BTC",
"severity": "high",
"signal_type": "confluence"
}
]
}
}Tags
x402
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