Institutional-grade prediction market data, arbitrage intelligence, and cross-venue order book normalization
Check if a token is the issuer's stock token and how far its on-chain price is from the issuer price
Stage
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Startup
Founded
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Based in
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Pricing model
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Free
Pricing
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
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Key features
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
Issuer registry verification against official Coinbase and Robinhood contract lists
Real-time price gap monitoring updated every 15 minutes
Issuer reference prices with age tracking against NYSE calendar
Impostor token detection for symbols and naming copies
Public read-only MCP server for AI agents
Six read-only MCP tools including find_stock_token and verify_stock_tokens
Data with time and source citations for verification
Daily public exam comparing answers against issuer registries
What makes it different
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
Independent verification with no issuer affiliation or endorsement required
Transparent sourcing with every answer showing its source and data age
API-free integration for AI agents with no authentication or keys needed
Split price tracking by market session to explain closed-market drift