Compare crypto trading fees across 33 exchanges ranked for your volume and trading style
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: complete exchange ranking, trading fee and funding estimates, withdrawal comparison, CSV audit findings, and fee-change tracker. Pro: $12 one-time payment adds exports, period comparison, saved scenarios, alerts, and advanced modeling.
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
Rank 33 exchanges by estimated monthly trading cost
Analyze actual trading fees from Binance CSV exports
Track funding rates on perpetual futures
Account for volume tiers and native-token discounts
Compare withdrawal fees across exchanges
Track daily fee changes with RSS feed
Save and compare multiple trading scenarios (Pro)
Export fee audit reports as PDF or CSV (Pro)
Set price and funding rate alerts (Pro)
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
Independent operator maintains all data and checks fee changes by hand
Personal CSV audit compares actual paid fees against published rates
No account required and data stays private in your browser
Rankings purely from fee data unaffected by affiliate links
One-time $12 Pro payment with no ongoing subscription
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