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OptionSpace

Volatility data and research tools powered by a market-maker-grade fitting and pricing engine

Votes
0
DR (Ahrefs)
0 no change since last check

Ahrefs Domain Rating reported 14 Nov 2026, restated 10 Nov 2026.

OptionSpace provides institutional-grade volatility infrastructure with fitted option smiles, Greeks, and visual research dashboards for analyzing equity

Overview

Screenshot of the OptionSpace homepage
A look at optionspace.ai

OptionSpace is a volatility research platform built on a market-maker-grade fitting and pricing engine. It serves professional traders, researchers, and institutional teams with two main products: a Data API offering fitted option smiles, Greeks, and constant-maturity metrics accessible via REST API and Python, and a Platform providing visual dashboards for surface inspection, event studies, screening, and historical simulations.

The platform accounts for American-style option features including early exercise, discrete dividends, and implied borrow rates, distinguishing it from simpler Black-Scholes-based tools. It provides one-minute granularity historical data across 140+ equity symbols spanning 10 years, with tools to compare volatility skew across names and dates, measure realized versus implied volatility, screen the market systematically, and simulate strategies before trading.

OptionSpace is designed specifically for agentic AI research workflows, accessible through API, Python DataFrames, local MCP (Model Context Protocol), and an interactive research environment. The platform enables users to inspect fitted volatility surfaces, generate trade ideas from historical context, and test views through simulation using actual bid-ask prices before executing trades.

Feature summary

  • 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

Pricing

Pricing model: Freemium

Free 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

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OptionSpace metrics

Reported for optionspace.ai: Ahrefs Domain Rating and Majestic link figures, with the movement since the prior report.

Domain Rating
0
no change since last check
Trust Flow
0
no change since last check
Citation Flow
0
no change since last check
Referring domains
0
no change since last check
External backlinks
0
no change since last check

Ahrefs Domain Rating reported 14 Nov 2026, restated 10 Nov 2026. Majestic reported 10 Nov 2026, restated 10 Nov 2026. Link figures sourced from Majestic. Trust Flow, Citation Flow and Topical Trust Flow are trademarks of Majestic-12 Ltd.

OptionSpace domain summary

Show the domain summary

Read from the public RDAP record on 14 Nov 2026, 08:26 UTC.

Domain age
7 months
Registered
Expires
Registrar
Cloudflare, Inc
DNSSEC
Not signed

Detailed domain report: optionspace.ai

OptionSpace launch ledger

What we have measured for OptionSpace since it went live on Fynora Launch on 10 November 2026.

Domain Rating (Ahrefs)
0 no change since launch
0 at launch (10 Nov 2026), 0 on 13 Nov 2026
Trust Flow (Majestic)
0
First measured 10 Nov 2026
Referring domains (Majestic)
0
First measured 10 Nov 2026

Day 4 since launch. Next receipt: day 30, 10 Dec 2026. Many things move these figures, so a change is not proof of cause. Only stored readings are shown.

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Q&A

How can researchers access OptionSpace data and tools?
OptionSpace provides access through multiple interfaces: a REST API for programmatic access, Python DataFrames and the OptionSpace Python package for research workflows, local Model Context Protocol (MCP) for AI agent integration, and interactive visual dashboards in the web platform for exploration and simulation.
What is the difference between realized and implied volatility on OptionSpace?
Implied volatility is what the market expects, while realized volatility is what actually happened. OptionSpace computes realized volatility from 385 intraday returns per day, allowing traders to identify the vol risk premium—the gap between implied and realized vol—which is one of the most durable edges in options trading.
Can strategies be tested before trading on OptionSpace?
Yes. OptionSpace allows users to simulate any volatility structure historically using actual bid-ask prices and fitted volatility surfaces, testing strategies through earnings events, rate shocks, and different market conditions. If a strategy doesn't hold up across different regimes with real historical data, it's validated before deployment.

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