# Get Bitcoin's rating
curl https://zarq.ai/v1/crypto/rating/bitcoin
# All 198 token ratings
curl https://zarq.ai/v1/crypto/ratings
# Current trading signals
curl https://zarq.ai/v1/crypto/signals
# Active risk alerts
curl https://zarq.ai/v1/crypto/early-warning
All token ratings sorted by score. Returns rating, composite score, five pillar scores, risk level, and structural signals for every rated token.
{
"data": [
{
"token_id": "bitcoin",
"rating": "A2",
"score": 74.52,
"pillar_1": 99.20,
"pillar_2": 32.84,
"pillar_3": 71.59,
"pillar_4": 86.50,
"pillar_5": 94.75,
"risk_level": "WARNING",
"structural_weakness": 2,
"structural_strength": 2
}
],
"meta": { "total": 198, "run_date": "2026-02-28" }
}Individual token rating with full detail including DtD score, crash probability, and pillar breakdown.
| Parameter | Type | Description |
|---|---|---|
token_id | string | CoinGecko token ID, e.g. bitcoin, ethereum, solana |
{
"token_id": "bitcoin",
"rating": "A2",
"score": 74.52,
"pillars": {
"ecosystem": 99.20,
"contagion": 32.84,
"resilience": 71.59,
"fundamental": 86.50,
"rug_pull": 94.75
},
"dtd": 3.03,
"risk_level": "WARNING",
"crash_probability": 8.2
}Distance-to-Default time series for a token. DtD measures standard deviations from the default barrier, adapted from the Merton structural credit model.
| Parameter | Type | Description |
|---|---|---|
token_id | string | CoinGecko token ID |
Active risk alerts across all rated tokens. Returns tokens with deteriorating DtD, elevated crash probability, or structural weakness signals.
Try it live →Current month's conviction-ranked long/short pairs. Generated from rating spreads and DtD differentials within investment-grade tokens. Backtested Sharpe: 2.82.
{
"pairs": [
{
"rank": 1,
"long": "the-open-network",
"short": "zcash",
"conviction": 0.886
}
],
"regime": "BEAR",
"month": "2026-03"
}Detailed trust score for any crypto entity. Five-dimensional breakdown with Security, Compliance, Maintenance, Popularity, and Ecosystem scores.
| Parameter | Type | Options |
|---|---|---|
entity_type | string | token, exchange, defi |
id | string | Entity ID, e.g. bitcoin, binance, aave-v3 |
{
"entity_type": "token",
"id": "bitcoin",
"name": "Bitcoin",
"trust_score": 74.52,
"trust_grade": "A2",
"dimensions": {
"security": 99.20,
"compliance": 32.84,
"maintenance": 71.59,
"popularity": 86.50,
"ecosystem": 94.75
},
"source": "zarq.ai"
}All paper trading portfolios with current NAV and performance metrics.
Try it live →SHA-256 hash-chained audit trail. Every daily NAV snapshot is cryptographically linked to the previous day for independent verification.
Try it live →All trust scores as gzipped JSONL. One line per entity. Updated daily.
Summary statistics: grade distribution, average scores by category, coverage counts.
Investment grade: Baa3 and above · Speculative grade: Ba1 and below · Each tier has three notches (e.g. A1, A2, A3)
ZARQ is built machine-first. Every endpoint returns structured JSON optimized for LLM context windows and automated decision pipelines.