Professional scenario and risk analytics for self-directed crypto holders
Institutional-grade prediction market data, arbitrage intelligence, and cross-venue order book normalization
Stage
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Founded
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Based in
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Pricing model
Freemium
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Pricing
Free tier: $0 forever with all nine scenario engines and core features. Pro: $29 per 30 days or $250 per year. Premium: $49 per 30 days or $450 per year. All paid tiers are prepaid with no auto-renewal.
Hobbyist: Free ($0/month) with 30 req/min rate limit and 24h lookback. Quant Pro: $30/month (billed monthly) or $24/month (billed annually, save 20%) with 180 req/min, 90-day archives, and 1M rows/day export. Institutional: $100/month (billed monthly) or $80/month (billed annually, save 20%) with 60
Key features
Monte Carlo scenario analysis
Nine scenario engine types
Risk Workbench with six investigation modules
Counterparty exposure decomposition
Scheduled alerts and reports
REST API and MCP server
AI-assisted portfolio analysis
Support for multiple exchanges
Manual and hypothetical portfolio entry
Portfolio tagging and segmentation
Millisecond L2 reconstruction with dual timestamping
Settlement fungibility scoring (0–100)
Cross-venue canonical pair matching and symbology
Real-time WebSocket feeds and REST API endpoints
Event-driven backtesting engine with latency modeling
Python and TypeScript SDKs
Parquet tick archive downloads
Market metadata and settlement provenance catalog
What makes it different
Non-custodial and read-only: never requests private keys, seed phrases, or signing capability
Professional risk analytics built specifically for individual crypto holders, not trading platforms
Deterministic risk engines exposed via API for integration with external tools and AI assistants
AI analysis adapted to user sophistication and risk tolerance
Free tier runs full analysis on real portfolios with no expiration
Covers seven prediction market venues in a single normalized API
Quantifies settlement risk with 0–100 fungibility scoring on oracle divergence and cutoff mismatches
Eliminates backfill problem with continuous millisecond-level historical L2 reconstruction
Sentralis
Naxos