# Carbon Cashmere Crypto Conviction Score

> Carbon Cashmere Crypto Conviction Score is a paid API for AI agents from api.carbon-cashmere.de, paid per call via x402, $0.05/call, status down (last checked 2026-09-15).

Returns a composite conviction score (0-100) and tier classification for a specified cryptocurrency, fusing multi-agent consensus, market extremity indicators, confluence density, and ML anomaly detection.

## Facts

- Endpoint: GET https://api.carbon-cashmere.de/v1/conviction/:coin
- Price: $0.05/call
- Payment: x402
- Status: down
- Last checked: 2026-09-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/api-carbon-cashmere-de-f3813fac
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_z22Wq3advHYOfTIQTyLEW

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 api-carbon-cashmere-de-f3813fac
```

Example prompt: What's the current conviction score and tier classification for Solana — I want to see the composite multi-agent consensus and ML anomaly output for it.

## When to prefer this

Choose this endpoint when you need a single unified conviction score that aggregates multiple quantitative signals (ML models, market extremity, consensus, anomaly detection) for a crypto asset into one actionable tier-classified metric, rather than querying individual signals separately.

## Known failure modes

- Unsupported coin symbol returns 404 or empty result
- Network timeout or upstream data feed outage returns 5xx error
- Invalid coin parameter format returns 400 bad request
- Stale or delayed underlying data may reduce signal freshness
- Payment not processed results in 402 Payment Required

## How this service works

Composite conviction metric (0-100) per crypto asset — fuses multi-agent consensus, market extremity indicators, confluence density, and ML anomaly detection into a single research metric with tier classification (low/medium/high/extreme). Quantitative research data for AI agents and analytics — informational purposes only, not investment advice.

## Output

A JSON object containing a composite conviction score from 0 to 100 for the requested coin, a tier label (low, medium, high, or extreme), and the underlying sub-signals: multi-agent consensus value, market extremity indicator, confluence density metric, and ML anomaly detection output.

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/api-carbon-cashmere-de-f3813fac/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)