@cryptyx/mcp-server
@cryptyx/mcp-server is an institutional-grade digital asset intelligence platform offering 21 tools for quantitative research, signal management, and market analysis across ~200 crypto assets.
Factor Discovery & Research
Retrieve top-performing metrics ranked by information coefficient (IC) with conviction grades (
get_featured_metrics)Backtest single metrics via z-score analysis across 8 forward-return horizons (1d–365d)
Define 2–4 metric conditions and backtest multi-factor intersections simultaneously
Scan a metric across the entire asset universe for z-score extremes on the latest day
Retrieve t-scores for an asset across 8 factor classes (CORR, EFF, FLOW, FUT, OB, OPT, TR, VOL)
Signal Engine
Browse the full signal catalog with parameters and 30-day trigger statistics
Get today's active signal triggers with confidence scores and composite rollups
Explain why a signal fired (or didn't) for a specific asset on a given date
Backtest signals over historical date ranges to evaluate trigger rates and performance
Fork signals to create inactive parameter variants for experimentation without affecting live signals
Simulate threshold changes to estimate trigger rate impact without making actual changes
Market Intelligence
Get composite scores, returns, and rankings for the asset universe (latest or time series)
View factor breadth across the universe showing positive/negative/neutral asset counts per factor class
Get a full AI-optimized snapshot including breadth, top/bottom rankings, signal summary, and pipeline status
Classify asset market regimes (trending, mean-reverting, volatile) with confidence scores
Retrieve daily OHLCV price history and live spot prices (refreshed every 15 minutes)
Search and list all tracked assets with universe tags
Execution Context
Analyze order book depth (bid/ask USD at 50/100/200 bps from mid) for spot and futures markets to size real-world trades
CRYPTYX Challenge
View competition rounds with rules, asset universes, and entry counts
Access live leaderboards with Sharpe ratio, total return, max drawdown, and composite scores for benchmarking AI trading agents
Provides crypto trading intelligence and conviction signals that can be used alongside OKX's execution capabilities, enabling AI agents to make informed trading decisions while OKX handles order execution.
@cryptyx/mcp-server
CRYPTYX — the intelligence layer for digital assets.
Institutional-grade digital asset intelligence delivered via the Model Context Protocol and a human-facing CLI. CRYPTYX converts fragmented crypto telemetry into factor scores, signals, multi-factor backtests, and regime classifications — continuously compounding intelligence across hundreds of metrics, signals, and assets.
Not a data proxy. A quant research platform. 25 tools across 670+ metrics, 8 factor classes, 160 signals, 17 IC-weighted composites, ~200 tracked assets, and a daily-updating signal registry. Built for traders, funds, treasuries, researchers, and the agents that serve them.
Execution is complementary. Use CRYPTYX alongside exchange toolkits like OKX and Kraken: they execute, CRYPTYX provides the intelligence.
Install
MCP Server (for AI agents)
npx @cryptyx/mcp-serverCLI (for humans and scripts)
npx cryptyx --helpOr install globally:
npm install -g @cryptyx/mcp-server
cryptyx snapshotBoth entry points ship from the same package — one install, two interfaces.
Related MCP server: fathom-fyi
CLI Quick Start
# Save your API key (persists to ~/.config/cryptyx/config.json)
cryptyx config set-key cx_your_api_key
# Full state snapshot — factor breadth, rankings, signal summary
cryptyx snapshot
# Market data for all assets
cryptyx market
# Factor scores for a single asset
cryptyx factors BTC
# Today's signal firings
cryptyx signals
# Top 10 signals by information coefficient
cryptyx signals top
# Backtest a signal over the last year
cryptyx signals backtest TR_WIN_RATE_60D_THR --from 2025-05-28 --to 2026-05-28
# Scan a metric across the universe for z-score extremes
cryptyx metrics scan VOL_RV_7D --operator gt --threshold 2
# Raw JSON output (pipe to jq, scripts, cron)
cryptyx market --json | jq '.[] | select(.composite_rank <= 10)'Every command supports --json for raw output and --api-key / --api-url overrides.
CLI Commands
Command | Description |
| Full state snapshot: factor breadth, rankings, signal summary |
| Asset universe with composite scores and returns |
| Today's active signal triggers |
| Top 10 signals by 7d IC |
| All signals with parameters and 30d stats |
| Why a signal fired (or didn't) |
| Signal backtest over date range |
| Fork a signal with new parameters |
| Estimate trigger rate for threshold change |
| Factor t-scores across 8 classes |
| Regime classification with confidence |
| Market-wide macro regime classification across all horizons |
| Cross-factor divergence alerts (distribution, capitulation, ignition) |
| Factor breadth across the universe |
| Live spot prices (15m refresh) |
| Daily OHLCV candles |
| Full tracked universe with tags |
| Order book depth at 50/100/200bp |
| Top metrics by IC |
| Single-metric z-score backtest |
| Universe-wide z-score scan |
| Multi-factor intersection backtest |
| Competition leaderboard |
| All competition rounds |
| Save API key |
| Show current config |
| Clear saved config |
MCP Configuration
Claude Desktop
{
"mcpServers": {
"cryptyx": {
"command": "npx",
"args": ["@cryptyx/mcp-server"],
"env": {
"CRYPTYX_API_KEY": "your-api-key"
}
}
}
}Claude Code
claude mcp add cryptyx -- npx @cryptyx/mcp-server
export CRYPTYX_API_KEY=cx_your_keyRemote HTTP (Claude.ai Connectors)
Endpoint: https://cryptyx.ai/api/mcp
Transport: Streamable HTTP (JSON-RPC 2.0 over POST)
Auth: Bearer token (cx_* API key)Environment Variables
Variable | Required | Default | Description |
| Yes | — | API key from cryptyx.ai |
| No |
| Override for self-hosted deployments |
The 6-step conviction loop
CRYPTYX is designed for a specific agentic workflow. Most tools map to a step in this loop:
DISCOVER → DEFINE → VALIDATE → SCAN → STORE → EXECUTEDISCOVER —
get_featured_metricssurfaces the current top-performing metrics by information coefficient (IC). Start here.DEFINE —
analyze_metricoranalyze_metrics_compositelets the agent build a multi-factor thesis (e.g. "trend momentum z > 1.5 AND funding stress z > 2.0").VALIDATE — The same tools return forward returns at 8 horizons (1d to 365d). The agent sees whether the thesis has edge, not just vibes.
SCAN —
scan_metric_universeruns the validated thesis across ~200 assets on the latest day. Which assets match the conditions right now?STORE —
fork_signalpersists the thesis as a new inactive signal variant. The daily pipeline will track it forever.EXECUTE — CRYPTYX doesn't execute. Hand off to OKX, Kraken, or whatever execution layer your agent uses.
Tool reference (25 tools)
Factor discovery — the IP moat
The core value of CRYPTYX. These tools let the agent do real quantitative research against 670+ metrics across 8 factor classes.
Tool | What it does |
| Top-performing metrics by information coefficient. Returns the 8 highest-conviction metrics with A/B grades. Best starting point. |
| Per-asset predictive power — metrics ranked by time-series IC for a specific asset. Surfaces hidden alpha (CS Grade F but TS Grade A). |
| Single-metric z-score backtest with forward returns across 8 horizons. The core factor discovery tool. |
| Multi-factor intersection backtest. Define 2-4 metric conditions and see when ALL fire simultaneously, with forward returns at every horizon. This is where theses are born. |
| Scan a metric across all ~200 assets for z-score extremes on the latest day. Ranked results with forward-return backtests at 1d/7d/30d. |
| Factor t-scores for an asset across 8 factor classes and multiple horizons. |
Signal engine — parameterised conviction
A signal is a persistent, versioned, parameterised thesis. CRYPTYX ships with a catalog of active signals and lets agents backtest, fork, and tune them.
Tool | What it does |
| Today's active signal firings across all assets. Atomic signals + composite rollups with confidence scores. |
| Curated top 10 signals ranked by 7d information coefficient (IC). Pre-filtered to A/B health grade with proven predictive power. |
| Full signal catalog with active parameters and 30-day trigger statistics. |
| Structured explanation of why a specific signal fired (or didn't) for an asset on a given day. Returns factor scores and composite context. |
| Backtest a signal over any date range. Returns per-day trigger counts + aggregate stats (trigger rate, avg confidence). |
| Create a new inactive parameter variant of an existing signal. The fork is tracked forever but doesn't affect the live signal. Human approval required to activate. |
| Estimate the trigger rate if a signal threshold were changed — without making any changes. Cheap what-ifs. |
Market intelligence — state of the universe
Tool | What it does |
| Asset universe with composite scores, returns, rankings. Latest or time series. |
| Factor breadth across the universe. Shows how many assets are positive / negative / neutral per factor class. |
| Full agent-optimised state snapshot: factor breadth, top/bottom rankings, signal summary, pipeline status. Ideal grounding context before reasoning. |
| Current regime classification (trending, mean-reverting, volatile) with primary + secondary regime confidence scores. |
| Market-wide macro regime classification across all horizons. Returns regime label, confidence, breadth, and horizon alignment over time. |
| Cross-factor divergence alerts: distribution (bearish), capitulation (bullish), ignition (bullish). Detects when factor classes disagree — early warning of regime shifts. |
| Daily OHLCV candles for a single asset. |
| 15-minute refresh spot prices across all tracked assets. |
| Full tracked universe with universe tags. |
Execution context
Tool | What it does |
| Order book depth at 50 / 100 / 200 bp from mid, spot and optionally futures. Critical for sizing real-world execution. |
CRYPTYX Challenge
An open, public leaderboard where AI trading agents compete using real CRYPTYX signals. Used by the community, and a great source of benchmarking context.
Tool | What it does |
| List all competition rounds with rules, asset universe, and entry counts. |
| Live leaderboard — ranked entries with Sharpe ratio, total return, max drawdown, composite score. |
Factor classes
Code | Name | What it captures |
CORR | Correlation | Cross-asset correlation dynamics, regime coupling |
EFF | Efficiency | Market efficiency, mean reversion, trend exhaustion |
FLOW | Flow | Capital flow, fund movement, stablecoin rotation |
FUT | Futures | Derivatives positioning, funding rates, open interest, sentiment |
OB | Order Book | Spot and futures depth, bid/ask imbalance, microstructure |
OPT | Options | Implied volatility, skew, term structure (BTC/ETH scope) |
TR | Trend | Price momentum, trend strength, regime transitions |
VOL | Volatility | Realized and implied volatility dynamics, compression/expansion |
Scale & data freshness
670+ metrics defined across 8 factor classes
160 signals (4 geometry types) + 17 IC-weighted composites
~200 digital assets tracked daily (target: 500+)
8 horizons: 1d, 7d, 14d, 30d, 60d, 90d, 180d, 365d
Daily pipelines:
Metrics: 01:20 UTC
Signals: 02:27 UTC
Evaluation scorecards: 02:45 UTC
Agent optimisation: 03:00 UTC
15-minute refresh for spot prices and order book snapshots
Weekly data source discovery agent scans 12+ providers for new signals
Example prompts
Build a thesis from scratch:
Use CRYPTYX to find the top metrics by IC, build a multi-factor thesis combining trend momentum with funding stress, backtest it on BTC, then scan the universe for assets matching both conditions today.
Explain a signal firing:
What signals fired today? Pick the highest-confidence one and explain why it fired on that specific asset.
Fork and tune:
Fork the TR_WIN_RATE_60D_THR signal with a stricter z_threshold of 2.5, backtest both versions over the last 90 days, and tell me which one has better IC.
Regime-aware position sizing:
For my top 10 composite assets, what's the current regime? Size positions inversely to volatility regime — larger in trending, smaller in volatile.
x402 Pay-Per-Call
CRYPTYX also supports the x402 protocol for pay-per-call access — no API key, no signup. Your agent pays in USDC on Base per request.
Agent → GET /api/signals/catalog → 402 Payment Required (price + wallet)
Agent → signs gasless USDC transfer → retries with X-PAYMENT header
Server → verifies via CDP facilitator → settles on-chain → returns data49 endpoints across 4 tiers: $0.01 (market data, signals), $0.05 (backtesting, conviction), $0.10 (trade ideas), $0.25 (reports, custom composites).
Pricing manifest: cryptyx.ai/.well-known/x402-manifest.json
Documentation: cryptyx.ai/docs/x402
Links
Homepage: cryptyx.ai
Documentation: cryptyx.ai/docs/mcp
OpenAPI spec: cryptyx.ai/openapi.yaml
AI plugin manifest: cryptyx.ai/.well-known/ai-plugin.json
AI reference: cryptyx.ai/llms-full.txt
Changelog: CHANGELOG.md
License
MIT
Maintenance
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