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OptionSpace vs Doxt Stock

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

OptionSpace compared with Doxt Stock
DetailOptionSpace logo OptionSpaceDoxt Stock logo Doxt Stock
What it doesVolatility data and research tools powered by a market-maker-grade fitting and pricing engine A judgment you can verify
StageNot given Not given
FoundedNot given Not given
Based inUS Not given
Pricing modelFreemium Free
PricingFree sample plan with no card required. Retail subscription available for individual personal use in the United States with daily limits on API credits. Institutional plans available at contact pricing for any business use with annual licenses invoiced monthly via ACH or wire. Higher-frequency data Not given
Key features
  • Fitted volatility surfaces with bid-ask-weighted curves across every expiration
  • Accounts for American-style options with early exercise, discrete dividends, and implied borrow rates
  • One-minute granularity historical data across 140+ symbols spanning 10 years
  • Realized volatility calculations from 385 intraday returns per day
  • Vol Screener, Vol Premium, Skew Scanner, and Earnings Vol analysis tools
  • Historical simulation using actual bid-ask prices and fitted vol surfaces
  • Python package for research workflows
  • Interactive visual dashboards for surface inspection and event studies
  • Model Context Protocol (MCP) integration for AI agent workflows
  • Greeks and constant-maturity metrics via API and dashboards
  • Public append-only ledger of all judgments
  • Settlement against real market prices after 5 trading days
  • Preregistered settlement thresholds of ±1.0%
  • Hash-chained records at database level
  • Hit rate and coverage metrics
  • Baseline comparisons: always-bullish, buy & hold, cash
  • Simulated paper account with commissions and slippage
  • Adjusted prices including splits and dividends
  • Direction and confidence for each judgment
What makes it different
  • Arbitrage-free fitted volatility wings extending beyond quoted book using Lee-moment discipline
  • Accessible to quantitative researchers and AI workflows through Python, API, and MCP without requiring market-maker infrastructure
  • 10 years of consistent historical data at one-minute granularity across 140+ symbols for rigorous backtesting
  • Every judgment published before settlement, including misses
  • Settled by deterministic code, not curated
  • Independently verifiable track record
  • Transparent about what it is not: not financial advice, no money management
Community votes00
DR (Domain Rating by Ahrefs)Not checked yet no change since last check8 +1 (up) since last check
Trust Flow (Majestic)00
Citation Flow (Majestic)04
Referring domains (Majestic)02

4 details filled in for both companies.

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