OFFSET PRICE DISCOVERY
WHAT IS THE VALUE OF MY OFFSET CREDIT?
It's hard to know. And knowing is necessary to take action.
PREDICT OFFSET PRICES WITH >90% ACCURACY
Available through our carbon intelligence platform, Vantage, Offset Price Discovery uses AI and machine learning to predict the spot and forward pricing of offset credits based on user-defined characteristics.
BOOK YOUR ONE-ON-ONE TOUR OF OPD
Predict offset spot prices with and without co-benefits
Predict the prices for offsets on major registries, helping users understand what price differences to expect
Forecast costs across various project categories, showcasing how project type influences pricing
Predict prices for offsets of various vintages, ensuring users understand the expected correlation between price and vintage
VALUE FOR STAKEHOLDERS
Predict the prices for offsets with various co-benefits and SDGs.
Price discovery across various project categories and geographies, showcasing how project type & location influences pricing.
Use pricing information for project/portfolio valuation for both current and future value
Evaluate new investment opportunities based on forecasted price including scenario analysis for high, most likely & low case
Predict prices for offsets of various vintages, understand the expected correlation between price and vintage
Mark spot offset portfolio
Negotiating a fair value for offsets on the spot market and forward offtake deal
Accurate financial modeling of projects to improve chances of success
PRICE DISCOVERY FEATURES
Volume of Data
Our dataset boasts over 80,000 rows, demonstrating the extensive reach and depth of our market analysis capabilities.
Data-Driven and Self-Learning
The OPD Model is a self-learning system, constantly evolving by analyzing extensive VCM data for predictive accuracy
Comprehensive Feature Analysis
The model predicts fair market values for VCM credits by analyzing features like Registry, Project Type, Continent, Delivery Date, Volume, and Additional Certifications, including CORSIA, CCB, and SDGs.
Our dataset spans globally recognized registries like Verra and CDM to niche players, ensuring comprehensive market insights.
We include data from established standards such as GS and CAR, reflecting the reliability of our analysis.
The inclusion of both well-known and specialized registries like BioCarbon and NFC provides a balanced view, which is crucial for in-depth market understanding.