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Langbot vs QuanterLab

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Langbot compared with QuanterLab
DetailLangbot logo LangbotQuanterLab logo QuanterLab
What it doesData and simulation layer for prediction markets on Kalshi and Polymarket Quantitative research platform for building and testing systematic trading strategies with point-in-time backtests and walk-forward validation
StageNot given Startup
FoundedNot given 2025
Based inNot given DE
Pricing modelFreemium Freemium
PricingFree ($0/month) with 60-second delay on live data, 60 API requests/minute, 1 concurrent stream, 5 subscriptions, 20 sim runs/month; Builder ($49/month) with 10-second delay, 600 requests/minute, 5 streams, 25 subscriptions, 100 sim runs/month; Standard ($199/month) with 2-second delay, 3,000 request Starter €7.99/month, Practitioner €19.50/month (regularly €39), Research €34.50/month (regularly €69). All prices include VAT. Every new account gets 30 days of Practitioner free with no card required.
Key features
  • Order-book history with outcomes and rules for every market on Kalshi and Polymarket
  • Live context synchronized on one clock: speech, official text and data releases
  • Simulator with venue's real fees and timing for backtesting
  • Full REST, WebSocket and SSE access with signed webhooks
  • Python and TypeScript SDKs and CLI for programmatic access
  • MCP server with phrase and market subscription tools
  • Fair-value and live probability models for markets
  • Signed receipts and provenance reports for evidence
  • Paper trading mode on live record before switching to real exchange keys
  • Timestamped facts for resolved market outcomes with speaker attribution
  • Visual strategy builder with circuit diagram interface
  • Point-in-time backtesting over 20 years of history
  • Walk-forward validation and robustness testing
  • Indicator strategies with mean reversion and momentum
  • Stochastic methods including Kalman filter and Ornstein-Uhlenbeck models
  • Factor model and portfolio construction tools
  • Paper trading with daily marked prices
  • Python code export for backtests and strategies
  • Regime analysis and market regime detection
What makes it different
  • Synchronized context on the same clock: order books, market rules, and every speech or data release that moves prices
  • Speaker attribution and verdict for each phrase: whether it counts under market rules
  • Live recording of order books for every open market rolling out
  • No trading signals: users control all decisions and trades with their own exchange keys
  • Point-in-time data discipline prevents look-ahead bias and ensures strategies see only information available on each date
  • 113 published research articles and studies with reproducible methodology and full audit trail
  • Circuit diagram interface makes strategy design accessible without requiring extensive coding
  • Full Python export enables strategies to be deployed outside the platform
Community votes00
DR (Domain Rating by Ahrefs)Not checked yet no change since last check5 +1 (up) since last check
Trust Flow (Majestic)08
Citation Flow (Majestic)028
Referring domains (Majestic)022

5 details filled in for both companies.

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