# Carbon & Cashmere BTC Signal Accuracy API

> Carbon & Cashmere BTC Signal Accuracy 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 ML model signal accuracy metrics, calibration stats, and prediction performance for Bitcoin over a 180-day lookback window

## Facts

- Endpoint: GET https://api.carbon-cashmere.de/v1/signal-accuracy/BTC
- Price: $0.02/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-14
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/carbon-cashmere-btc-signal-accuracy-api-06f64431
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_gNusEWCCxvNoB4WUPLknh

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-btc-signal-accuracy-api-06f64431
```

Example prompt: Pull the signal accuracy stats for BTC from Carbon & Cashmere — I want to know how accurate the v3_tsfresh model has been, its edge over a coin flip in basis points, and whether it's overconfident or well-calibrated.

## When to prefer this

Use this endpoint when you need to validate or audit the predictive reliability of Carbon & Cashmere's ML trading signals for BTC before acting on them, or when building a meta-layer that weights signal confidence by historical accuracy. Prefer this over the full bundle endpoint when you only need model performance stats rather than live signals.

## Known failure modes

- Unsupported coin symbol returns 404 or empty result
- Payment not included or insufficient USDC (x402 payment required) returns 402
- API downtime returns 5xx server error
- Model has insufficient data for the lookback window, returning low sample sizes marked as inadequate

## How this service works

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

## Output

A JSON object containing: model-level accuracy metrics (correct predictions, total predictions, accuracy rate, average confidence, edge vs coinflip in bps), calibration assessment (gap in bps, overconfident/underconfident classification), lookback period in days, best performing model summary, per-time-window accuracy breakdowns, and confidence bucket statistics. Includes a disclaimer that data is informational only.

## 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-btc-signal-accuracy-api-06f64431/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)