# Carbon & Cashmere Signal Accuracy API – SOL

> Carbon & Cashmere Signal Accuracy API – SOL is a paid API for AI agents from api.carbon-cashmere.de, paid per call via x402, $0.02/call, status unknown (last checked 2026-09-15).

Returns ML model signal accuracy, prediction statistics, calibration data, and edge-vs-coinflip metrics for Solana (SOL) crypto trading signals.

## Facts

- Endpoint: GET https://api.carbon-cashmere.de/v1/signal-accuracy/SOL
- Price: $0.02/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/carbon-cashmere-signal-accuracy-api-sol-adde3de5
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_4cWh-mvV2azgCNlkdO75T

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 carbon-cashmere-signal-accuracy-api-sol-adde3de5
```

Example prompt: Pull the signal accuracy stats for SOL from Carbon & Cashmere — I want to see the model accuracy, edge over coinflip in basis points, and whether the model is overconfident or well-calibrated.

## When to prefer this

Use this endpoint when you need to evaluate the historical accuracy and reliability of ML-driven crypto trading signals specifically for SOL (Solana). It is ideal for backtesting confidence, assessing model calibration, and quantifying predictive edge before acting on signals. Choose this over generic price endpoints when you need statistical validation of signal quality, not just current price data.

## Known failure modes

- Invalid or unsupported coin symbol returns an error or empty result
- Payment not received results in HTTP 402 rejection
- Endpoint may return limited data if model has insufficient prediction history for SOL
- Network timeout if the service is temporarily unavailable

## How this service works

Professional crypto market intelligence. Real-time prices, signals, and market scoring.

## Output

Returns a JSON object with ML model accuracy (e.g. 62.28%), total predictions, average confidence, edge vs coinflip in basis points, calibration classification (e.g. overconfident), confidence bucket breakdowns, time-window accuracy slices, and the best-performing model name — all for Solana over a 180-day lookback window.

## Request schema (JSON Schema)

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

## Response schema (JSON Schema)

```json
{
 "type": "json",
 "example": {
  "coin": "BTC",
  "_meta": {
   "disclaimer": "Informational research data only — not investment advice."
  },
  "models": [
   {
    "model": "v3_tsfresh",
    "correct": 469,
    "accuracy": 0.6228,
    "avg_confidence": 0.7274,
    "total_predictions": 753,
    "edge_vs_coinflip_bps": 1228.4
   }
  ],
  "calibration": {
   "gap_bps": 1046,
   "classification": "overconfident",
   "avg_confidence_primary_model": 0.7274,
   "actual_accuracy_primary_model": 0.6228
  },
  "lookback_days": 180,
  "best_performing_model": {
   "name": "v3_tsfresh",
   "accuracy": 0.6228,
   "sample_size": 753
  },
  "time_windows_v3_tsfresh": [
   {
    "accuracy": 0.6429,
    "window_days": 7,
    "total_predictions": 42,
    "sample_size_adequacy": "adequate"
   }
  ],
  "confidence_buckets_v3_tsfresh": [
   {
    "total": 180,
    "accuracy": 0.65,
    "confidence_bucket": "high"
   }
  ]
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/carbon-cashmere-signal-accuracy-api-sol-adde3de5/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from api.carbon-cashmere.de](https://www.zero.xyz/host/api.carbon-cashmere.de/llms.txt)